A STUDY OF THE SCALABILITY AND PERFORMANCE OF MULTI-LEVEL HIERARCHY FOR SCALABLE MOBILITY MANAGEMENT IN WIRELESS IPv6 NETWORKS

Size: px
Start display at page:

Download "A STUDY OF THE SCALABILITY AND PERFORMANCE OF MULTI-LEVEL HIERARCHY FOR SCALABLE MOBILITY MANAGEMENT IN WIRELESS IPv6 NETWORKS"

Transcription

1 A STUDY OF THE SCALABILITY AND PERFORMANCE OF MULTI-LEVEL HIERARCHY FOR SCALABLE MOBILITY MANAGEMENT IN WIRELESS IPv6 NETWORKS E.N. Onwua and Z. Nu State Key Lab on Mcrowave and Dgtal Communcaton Department of Electronc Engneerng, Tsnghua Unversty, Bejng 184 P.R Chna. Emal: Abstract: Ths paper presents a study on the benefts of mult-level herarchy for scalable moblty management n the wreless moble IP context. Mcro moblty management s consdered. The analyss too advantage of the localty n movement and call actvtes of moble users. It was dscovered that whether mult-level herarchy s benefcal or not depends on the type of management employed n the moblty management. When herarchcal structure s used n a mcro moblty regon, the system scales wth more levels of herarchy, but f the structure used s not herarchcal, mult-level herarchy s less scalable because the root presents a bottlenec to the system. Keywords: Moble IP, IPv6, mcro moblty management, herarchy, scalablty. 1. INTRODUCTION The Internet has been accused of beng a vctm of ts own success. Ths speas of the level of attracton t presents to users. Currently, wreless access to the Internet s attractng a lot of attenton both from users, researchers and vendors. In addton, moblty management protocols for Internet devces are beng defned and standardzed. It s beng predcted, wth good reason, that wreless access to the Internet may outstrp all other forms of access n the near future, and that moble users may expect the same levels of servce qualty as wrelne users. All these developments spea of the need for scalable and hgh performance wreless networs. The general moblty management problem n the Internet can be summarzed as ng and routng problem. Ths s because n the tradtonal IP networ, pacet routng s dependent. A host s IP conssts of two parts: networ dentfcaton part and host dentfcaton part. A pacet destned to an Internet host s routed to the networ where the host s attached and onwards to the host [1]. Therefore when a host moves away from ts home networ, t wll be dffcult to route pacets to t wthout addtonal moblty related operatons. Moble IPv6 (MIPv6) [2] s the base moblty support protocol that s beng standardzed by the IETF. Ths protocol ntroduces networ overhead n terms of delay, pacet loss and sgnalng when a moble (MN) changes pont of attachment frequently, such as when t moves about n a local regon. MIPv6 therefore, performs well for macro-moblty, but when used for mcro-moblty management, t mpacts on performance and scalablty. Ths necesstates another protocol to effectvely manage user moblty n a mcro regon. Recently, a number of mcro moblty protocols have been proposed n lterature, and are beng consdered n the IETF- WG. These protocols are concerned wth the scalablty and performance ssues n managng user moblty n a local regon where a user wll frequently mgrate from one access pont to another. Though the desgn am of the protocols s the same, they nevertheless dffer n desgn approach. Because herarchcal moblty management reduces the performance mpact of moblty by handlng local mgratons locally, the mcro moblty protocols generally employ a herarchy of moblty-aware routers, but they dffer n ther management and routng. In order to select from the many mcro moblty protocols, the IETF-WG mapped out a selecton crtera, whch s documented as an Internet Draft named Requrements for localzed moblty management [3], [4]. In one of the crtera, mult-level herarchy vs. flat herarchy n [3] (sldes verson), they needed a quantfable metrcs to judge whether there s performance gans n mult-level herarchy vs-à-vs flat herarchy. In [4] (sldes verson), no specfc recommendaton was made on number of levels of herarchy, but t s requred that the mcro moblty protocol should be able to scale. In ths paper, we present an attempt to quantfy the scalablty and performance benefts of mult-level herarchcal archtecture n IP mcro moblty management networs. The rest of ths paper s arranged thus: In Secton 2 we present a general structure of the mcro moblty protocols proposed n lterature, n Secton 3 we create a scenaro to ad n comparson, n Secton 4 we present an analytcal model, Secton 5 presents numercal results, whle Secton 6 concludes the paper. 2. STRUCTURE OF MICRO MOBILITY OTOCOLS Accordng to the defnton of mcro moblty protocols, when a MN s away from home, the Internet nown by ts HA no longer reflects ts exact pont of attachment. Rather, t represents the of a gateway that s common to potentally large numbers of networ access ponts (AP) [5]. In most of the

2 mcro moblty protocols, the doman s extended by attachng the Aps to moblty routers (MR) that are arranged n herarchcal format. In order to route pacets to MNs actual pont of attachment, each of these MRs mantans moblty bndng entres for all the MNs under ther coverage areas. To forward a pacet, each MR needs to examne the destnaton of the pacet and chec ts moblty bndng entres. If a moblty bndng for the MN to whch the pacet s destned exsts (generally n the form of MN- next-hop-router), t wll forward the pacet accordngly. Ths mples that, ths mappng or moblty bndng for each MN wll exst from the gateway, through the MRs, down to the AP to whch the MN s attached. There are two broad classes of management and routng used by mcro moblty. They are tunnelng and moble specfc routng [5]. In the tunnelng approach, moblty bndng exsts n the form of COAs, so that pacets have to be routed by encapsulatng the orgnal pacet n a new pacet whose destnaton s the COA. All the MRs along the way to the MN need to decapsulate the pacet n order to see the orgnal, search ts entres for moblty bndng, rencapsulate and forward the pacet. The pacet eventually reaches the AR (or the lowest-level FA) that then delvers the pacet. In the moble specfc routng approach, COAs are not used to dentfy MNs n the mcro moblty doman. Rather, MNs are dentfed by ther home es, and moble-specfc moblty bndngs are mantaned n the MRs. Encapsulated pacets enterng the doman are decapsulated at the gateway. Wthn the doman, pacets need not be encapsulated, they are routed accordng to the moble specfc entres n the respectve MR n the herarchy down to the to the AR where the moble s attached. In all the mcro moblty protocols, locaton nformaton s created and mantaned ether by mplct or explct sgnalng. Herarchy actually exsts, but only n the arrangement, and ths s common to all the mcro moblty protocols n lterature. It therefore, does not gve enough room for comparson. Let us, for the purposes of ths study, call ths type of herarchcal structure scenaro-1. In order to carry out ths study, we need to create a second scenaro based on a dfferent herarchcal structure, and let us call t scenaro-2. The next Secton creates scenaro A SCENARIO FOR COMPARISON Recall that one of the reasons the fxed Internet scaled to accommodate many hosts s due to ts herarchcal structure. Ths made t possble to eep the routng table entres manageable. In an attempt to explot ths characterstc n the moblty management problem space, we create scenaro-2 as a herarchcal structure based on Internet ng herarchy. Suppose that an IPv6 subnet space s assgned to mcro moblty doman. And that a porton of the 16-bt SLA ID feld s subdvded to create further ng herarches as shown n fg.1. Each MR on each level wll be aware of ts herarchcal poston and eep approprate routng table entres. Then, es of all Hgher levels SLA ID Interface ID Fg.1 possble prefx mass for a 4-level herarchy MNs regstered n a gven zone are wthn the prefx space of the MRs n ther lne of herarchy up to the gateway. In ths scenaro, the HA functonalty s mplemented n the leaf s whch serve as access routers (AR). Therefore, when a MN moves from access router A to access router B n Fg.2, a moblty bndng s created for t n AR B and MR C. Thus, upln/downln Pacets are stll routed to ths MN by prefx up to C, whch now routes the pacet accordng to the moblty mappng to AR B. Ths way, moblty bndngs need not exst n the hgher-level MRs except when necessary. A MN move D C HR E H I B MN F = Prefx Route HR = Host Route Fg.2 llustraton of management and routng Snce most user movements are lely to be localzed, moblty bndng wll only need to exst n the lower-level MRs. Thus, the farther a MN moves from ts home cell, the hgher n the herarchy wll ts locaton nformaton be placed. Where moblty bndng does not exst for MN, routng wll be based on prefx. In ths scenaro, gven the low percentage of users who wll lely wander far from home cell, one may expect the hgherlevel MRs to be less congested. Also, gven that the number of entres n the hgher-level MRs do not depend on the number of MNs n the doman, but on how far mobles move from home cells, the system could be expanded by addng new s at the lower-levels. 4. ANALYTICAL MODEL In order to create a model to estmate how scalable the two herarchcal scenaros are, we use a 2-, 3-, and 4-level herarchy as a case study wth the leaf s as level- and root as level-3 (note that 1-level s a trval case). Recall that the MRs G J K

3 eep a sort of database where route nformaton are stored. The operatons they perform nclude search, nsert or/and forward. Among these operatons, the search operaton consumes the greatest tme; t depends on the number of database entres. A pacet may experence some delay at each t wll traverse before completng servce, so that, the total delay a gven pacet suffered s the sum of each ndvdual delay component at the s t traversed, ncludng the lns. Thus, the maxmum delay mposed by the system on an arbtrary pacet may be estmated as the summaton of the average delays from the wreless ln to the root, ths may be represented as: 1 max = d wl + 2 d n + 2 = = 1 D 2 d + d (1) Where d wl s the wreless ln delay, d n s the delay at, and d l s the delay on wred-ln. Ths delay dstrbuton s shown n fg.3. MN L- L-1 L-2 L-3 MN L- L-1 L-2 L-3 p p 1 l n q 1 because we assume the wred ln capacty n the access networ s never exceeded, no queue forms. λ 1 λ 1 λ λ 1 jj 1 λ µ w µ µ l µ 1 µ jj 1 µ jj Wreless ln L- Wred ln L-1 Fg.4 llustratng networ of queues for our study model L--1 λ jj Due to the localty n moble user movement, wth some probablty q 1 a MN wll have moblty bndng only n level- and the level-1 s, see fg.3. Wth probablty q 2, t wll have moblty bndng from level- up to level-2 s, and wth probablty q, t wll have bndng from level- up to the root. Also, due to the localty n call actvtes, wth probablty p, a data pacet orgnates and termnates wthn a cell, wth probablty p 1, t orgnates and termnates wthn a level-1 coverage area, wth probablty p 2, t orgnates and termnates n a level-2 coverage area, and wth probablty p, t gets up to the root before leavng the system [7]. L- p 2 q 2 The average servce request arrvng at each n a j-level systems s generalzed as: d wl d l1 d l2 d n d n1 d n2 d l3 d n3 p 3 d wl d l1 d l2 d n d n1 d n2 (a) (b) Fg.3 Delay dstrbuton along the levels of the herarchy (a) routng, (b) update To estmate the delay components, we assume, for smplcty, that data pacet and BU arrval rates and servce rates at the leaf s (or ARs) follow the Posson process wth λ p, λ u, µ respectvely so, the total arrval rate at an AR s λ = 2(λ u +λ p ). Further, we model the servce s (ncludng the lns) n the herarchy as a networ of queues, see Fg.4. Assume that the departure processes from each AR follow the Posson process and therefore, feed the level-1 s wth a Posson arrval rate λ 1 = N 1 λ, and the departure processes from the level-1 s feed the level-2 s wth Posson arrval of rate λ 2 =N 2 λ, agan, level-2 s feed level-3 wth a Posson arrval process of λ 3 =N 3 λ where N 1, N 2 and N 3 are the number of ARs feedng nto the level-1, level-2 and level-3 s respectvely. Wth these assumptons, our system obeys Jacson theory [6]. Therefore, we can model the servce s as M/M/1 queung system wth servce rates µ 1, µ 2, and µ respectvely. We model the wreless ln as M/M/1 system wth servce rate µ w, and the wred ln s modeled as M/M/ wth servce rate µ l, ths s d l3 q 3 d n3 λj = N {2λ + [ 1 u = = 1 (1 p )](2 p } = λ j N {[ (1 q )](2 q ) λu + j = 1 j = j 1 = λ = N { (2) [ (1 p )](2 ) λ } (3) 1 = 1 (1 q p ) λ + u 1 = p j=1,2, =,1, j (1 p ) λ } Where λ s the servce arrval rate, subscrpt j represents the maxmum number of levels n a gven system, and subscrpt represents the th level n a j-level system. If λ p and λ u are nown, we can calculate the average delay at each servce wth the formula: p (4)

4 D s = (5) 1 λs Where s s average servce tme at the th servce, see Fg. 4. Therefore, the maxmum delay could be estmated as: Dmax D = 1 = (6) Note that due to larger number of moblty entres n scenaro-1, servce tme at each s expected to be longer than n scenaro-2 because of the longer search tme ncurred. 5. NUMERICAL RESULTS For numercal evaluaton, we estmate a relatvely practcal stuaton that s lely to be obtanable n the near future, when IPv6 networ s fully deployed..e., traffc pattern n cty pedestran zone, wth hgh termnal densty, small cells, low moblty, and relatvely slow servers. Therefore, λ u s estmated usng the flud flow moblty model as n [7]: λ u = ρv4l/36π (/s) and λ p = ρra/36 (/s) Where ρ s termnal densty (term/km 2 ), v s average termnal velocty, l s lateral length of cells (square cells), A s area of a cell, and r s average data pacet arrval rate per termnal (pt/term/hr). To nvestgate the scalablty and delay performance due to number of levels, we evaluate Eqs (2)-(6) for j=1, 2 and 3 for both scenaros (snce 1-level, j=, s a trval case). In (5) we assume s =s 1 =s 2,=s 3.. See Table I for parameter values. The results are shown n Fgs 5-8. maxmum delay (s) MN densty Fg.5 scalablty performance for 2-level system for scenaro 1and 2 (l=8m, Table I Parameters used for evaluaton parameter J=1: N 1 J=2: N 1,N 2 J=3: N 1,N 2,N 3 p p 1 p 2 value , 128 8, 32, parameter Scenaro-1: s Scenaro-2: s s w s l q 1 q 2 value parameter l r v value.8/1.km 2 5.6/1Km/hr These results show that mult-level herarchcal desgn mproves networ scalablty, but the degree of scalablty depends on the type of herarchcal structure used. Fgs 5 and 6 show that herarchcal desgn based on ng herarchy (scenaro-2) s about three tmes more scalable than that based on arrangement (scenaro-1) when herarchy s ncreased from 2- to 3-level. Ths s because, although herarchy provdes for dstrbuton and data parttonng, scenaro-1 s less scalable wth ncrease n herarchcal level because the root maxmum delay(s) MN densty Fg.6 scalablty performance for 3-level system for scenaro 1and 2 (l=8m, maxmum delay (s) herarchy by MN densty Fg.7 scalablty performance for 4-level system for scenaro 1and 2 (l=8m,

5 maxmum delay (s) herachy by MN densty Fg.8 scalablty performance for 4-level system for scenaro 1and 2 (l=1m, v=1km/hr) causes a bottlenec to the system, therefore t provdes a lmt to the system both n capacty and maxmum acceptable delay. Scenaro-2 does not suffer from ths lmtaton because there s no bottlenec. Fg.7 shows that for 4-level herarchy, scenaro-1 s almost saturated whle scenaro-2 s far from saturaton. Fg.8 shows that for bgger cell and faster termnal moblty, scenaro 1 s stll much more scalable than scenaro Address parttonng may consume space, but ths should be consdered a mnor problem n the face of the benefts t wll attract, especally as wreless Internet access may eventually outstrp the wrelne access. Proper management wll also reduce the mpact of parttonng. Reference: 1. D.E. Comer, Internetworng wth TCP/IP vol.1, Prentce hall Internatonal, D.B. Johnson and C. Perns, Moblty support n Ipv6, Internet Draft, draft-etf-moblep-pv6-19.txt, Nov. 22; wor n progress. 3. C. Wllams, Localzed moblty management requrements for IPv6 Internet Draft, draft-wllams-moblep-lmm-requrements-.txt, November 21, wor n progress. 4. C. Wllams, Localzed moblty management requrements for IPv6 Internet Draft, draft-etf-moblep-lmm-requrements-1.txt, March 22, wor n progress. 5. A.T. Campbell, et al, Comparson of IP mcrmoblty protocols, IEEE wreless communcaton, Feb L. Klenroc, Queueng systems, volume 1, Wley- nterscence publcaton, X. Qu and V.O.K L, Performance Analyss of PCS Moblty Management Database System, Proc. Of the 4 th Int. Conf. on Computer communcatons and networs (IC3N 95), Sept. 1995, pp CONCLUSION Ths paper attempted to answer the queston as to whether there s any performance gans n mult-level herarchy vs-à-vs flat herarchy (.e. a fxed herarchy). From our study we could mae the followng conclusons: Mult-herarchy mproves scalablty and delay performance of moble networ systems because t allows for route nformaton dstrbuton and data parttonng. more number of herarches could ncrease scalablty. The degree of scalablty achevable depends on the type of herarchcal structure employed. A herarchcal structure based on arrangement only, whch forces every MN n a doman to have moblty bndng n the root may seze to scale n the future because the capacty and delay performance of such a system depends on the capacty and delay performance of the root. A herarchcal desgn based on ng structure for IPv6 may scale better because the root does not present a bottlenec therefore, the doman may be fanned out n the future by addng more lower-level s. Herarchcal levels may be ncreased by n the future by further parttonng partcularly n IPv6.

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.15 No.10, October 2015 1 Evaluaton of an Enhanced Scheme for Hgh-level Nested Network Moblty Mohammed Babker Al Mohammed, Asha Hassan.

More information

Optimal Distribution of Remotely-Subscribed Multicast Traffic within a Proxy Mobile IPv6 Domain by Using Explicit Multicast

Optimal Distribution of Remotely-Subscribed Multicast Traffic within a Proxy Mobile IPv6 Domain by Using Explicit Multicast ptmal strbuton of Remotely-Subscrbed Multcast Traffc wthn a Proxy Moble v6 oman by Usng Explct Multcast us M. Contreras *, Carlos J. Bernardos * Core Networ Evoluton Telefónca I+ on Ramón de la Cruz, 82-84,

More information

Load-Balanced Anycast Routing

Load-Balanced Anycast Routing Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

Real-Time Guarantees. Traffic Characteristics. Flow Control

Real-Time Guarantees. Traffic Characteristics. Flow Control Real-Tme Guarantees Requrements on RT communcaton protocols: delay (response s) small jtter small throughput hgh error detecton at recever (and sender) small error detecton latency no thrashng under peak

More information

OPTIMAL CONFIGURATION FOR NODES IN MIXED CELLULAR AND MOBILE AD HOC NETWORK FOR INET

OPTIMAL CONFIGURATION FOR NODES IN MIXED CELLULAR AND MOBILE AD HOC NETWORK FOR INET OPTIMAL CONFIGURATION FOR NODE IN MIED CELLULAR AND MOBILE AD HOC NETWORK FOR INET Olusola Babalola D.E. Department of Electrcal and Computer Engneerng Morgan tate Unversty Dr. Rchard Dean Faculty Advsor

More information

HIERARCHICAL SCHEDULING WITH ADAPTIVE WEIGHTS FOR W-ATM *

HIERARCHICAL SCHEDULING WITH ADAPTIVE WEIGHTS FOR W-ATM * Copyrght Notce c 1999 IEEE. Personal use of ths materal s permtted. However, permsson to reprnt/republsh ths materal for advertsng or promotonal purposes or for creatng new collectve wors for resale or

More information

Simulation Based Analysis of FAST TCP using OMNET++

Simulation Based Analysis of FAST TCP using OMNET++ Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months

More information

Virtual Machine Migration based on Trust Measurement of Computer Node

Virtual Machine Migration based on Trust Measurement of Computer Node Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on

More information

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks Prorty-Based Schedulng Algorthm for Downlnk Traffcs n IEEE 80.6 Networks Ja-Mng Lang, Jen-Jee Chen, You-Chun Wang, Yu-Chee Tseng, and Bao-Shuh P. Ln Department of Computer Scence Natonal Chao-Tung Unversty,

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

The Hybrid Mobile Wireless Sensor Networks for Data Gathering

The Hybrid Mobile Wireless Sensor Networks for Data Gathering The Hybrd Moble Wreless Sensor Networks for Data Gatherng Bao Ren Bejng Unv. of Posts & Telecommuncatons, Bejng 876, Chna +86--62287 renb@bupt.edu.cn Jan Ma Noka Research Center, Bejng 3, Chna +86--65392828-2883

More information

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory Background EECS. Operatng System Fundamentals No. Vrtual Memory Prof. Hu Jang Department of Electrcal Engneerng and Computer Scence, York Unversty Memory-management methods normally requres the entre process

More information

MobileGrid: Capacity-aware Topology Control in Mobile Ad Hoc Networks

MobileGrid: Capacity-aware Topology Control in Mobile Ad Hoc Networks MobleGrd: Capacty-aware Topology Control n Moble Ad Hoc Networks Jle Lu, Baochun L Department of Electrcal and Computer Engneerng Unversty of Toronto {jenne,bl}@eecg.toronto.edu Abstract Snce wreless moble

More information

IP mobility support is becoming very important as the

IP mobility support is becoming very important as the 706 IEEE TRANSACTIONS ON COMPUTERS, VOL. 52, NO. 6, JUNE 2003 A New Scheme for Reducng Lnk and Sgnalng Costs n Moble IP Young J. Lee and Ian F. Akyldz, Fellow, IEEE Abstract IP moblty support s provded

More information

Classifying Acoustic Transient Signals Using Artificial Intelligence

Classifying Acoustic Transient Signals Using Artificial Intelligence Classfyng Acoustc Transent Sgnals Usng Artfcal Intellgence Steve Sutton, Unversty of North Carolna At Wlmngton (suttons@charter.net) Greg Huff, Unversty of North Carolna At Wlmngton (jgh7476@uncwl.edu)

More information

CS 268: Lecture 8 Router Support for Congestion Control

CS 268: Lecture 8 Router Support for Congestion Control CS 268: Lecture 8 Router Support for Congeston Control Ion Stoca Computer Scence Dvson Department of Electrcal Engneerng and Computer Scences Unversty of Calforna, Berkeley Berkeley, CA 9472-1776 Router

More information

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier Some materal adapted from Mohamed Youns, UMBC CMSC 611 Spr 2003 course sldes Some materal adapted from Hennessy & Patterson / 2003 Elsever Scence Performance = 1 Executon tme Speedup = Performance (B)

More information

Efficient Content Distribution in Wireless P2P Networks

Efficient Content Distribution in Wireless P2P Networks Effcent Content Dstrbuton n Wreless P2P Networs Qong Sun, Vctor O. K. L, and Ka-Cheong Leung Department of Electrcal and Electronc Engneerng The Unversty of Hong Kong Pofulam Road, Hong Kong, Chna {oansun,

More information

Module Management Tool in Software Development Organizations

Module Management Tool in Software Development Organizations Journal of Computer Scence (5): 8-, 7 ISSN 59-66 7 Scence Publcatons Management Tool n Software Development Organzatons Ahmad A. Al-Rababah and Mohammad A. Al-Rababah Faculty of IT, Al-Ahlyyah Amman Unversty,

More information

Learning the Kernel Parameters in Kernel Minimum Distance Classifier

Learning the Kernel Parameters in Kernel Minimum Distance Classifier Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department

More information

Rules for Using Multi-Attribute Utility Theory for Estimating a User s Interests

Rules for Using Multi-Attribute Utility Theory for Estimating a User s Interests Rules for Usng Mult-Attrbute Utlty Theory for Estmatng a User s Interests Ralph Schäfer 1 DFKI GmbH, Stuhlsatzenhausweg 3, 66123 Saarbrücken Ralph.Schaefer@dfk.de Abstract. In ths paper, we show that Mult-Attrbute

More information

X- Chart Using ANOM Approach

X- Chart Using ANOM Approach ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are

More information

Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks

Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks Moblty Based Routng Protocol wth MAC Collson Improvement n Vehcular Ad Hoc Networks Zhhao Dng, Pny Ren, Qnghe Du Shaanx Smart Networks and Ubqutous Access Rearch Center School of Electronc and Informaton

More information

IP Camera Configuration Software Instruction Manual

IP Camera Configuration Software Instruction Manual IP Camera 9483 - Confguraton Software Instructon Manual VBD 612-4 (10.14) Dear Customer, Wth your purchase of ths IP Camera, you have chosen a qualty product manufactured by RADEMACHER. Thank you for the

More information

Support Strong Consistency for Mobile Dynamic Contents Delivery Network

Support Strong Consistency for Mobile Dynamic Contents Delivery Network Nnth IEEE Internatonal Symposum on Multmeda 27 Support Strong Consstency for Moble Dynamc Contents Delvery Networ Zhou Su, Jro Katto and Yasuho Yasuda Graduate School of Scence and Engneerng, Waseda Unversty,

More information

Adaptive Energy and Location Aware Routing in Wireless Sensor Network

Adaptive Energy and Location Aware Routing in Wireless Sensor Network Adaptve Energy and Locaton Aware Routng n Wreless Sensor Network Hong Fu 1,1, Xaomng Wang 1, Yngshu L 1 Department of Computer Scence, Shaanx Normal Unversty, X an, Chna, 71006 fuhong433@gmal.com {wangxmsnnu@hotmal.cn}

More information

Performance analysis of distributed cluster-based MAC protocol for multiuser MIMO wireless networks

Performance analysis of distributed cluster-based MAC protocol for multiuser MIMO wireless networks RESEARCH Open Access Performance analyss of dstrbuted cluster-based MAC protocol for multuser MIMO wreless networks Azadeh Ettefagh *, Marc Kuhn, Celal Eşl and Armn Wttneben Abstract It s known that multuser

More information

Bayesian Model for Mobility Prediction to Support Routing in Mobile Ad-Hoc Networks

Bayesian Model for Mobility Prediction to Support Routing in Mobile Ad-Hoc Networks Bayesan Model for Moblty Predcton to Support Routng n Moble Ad-Hoc Networks Tran The Son, Hoa Le Mnh, Graham Sexton, Nauman Aslam, Zabh Ghassemlooy Northumbra Communcatons Research Laboratory (NCRLab Faculty

More information

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between

More information

Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research

Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research Schedulng Remote Access to Scentfc Instruments n Cybernfrastructure for Educaton and Research Je Yn 1, Junwe Cao 2,3,*, Yuexuan Wang 4, Lanchen Lu 1,3 and Cheng Wu 1,3 1 Natonal CIMS Engneerng and Research

More information

An Iterative Solution Approach to Process Plant Layout using Mixed Integer Optimisation

An Iterative Solution Approach to Process Plant Layout using Mixed Integer Optimisation 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 An Iteratve Soluton Approach to Process Plant Layout usng Mxed

More information

USING GRAPHING SKILLS

USING GRAPHING SKILLS Name: BOLOGY: Date: _ Class: USNG GRAPHNG SKLLS NTRODUCTON: Recorded data can be plotted on a graph. A graph s a pctoral representaton of nformaton recorded n a data table. t s used to show a relatonshp

More information

Connection-information-based connection rerouting for connection-oriented mobile communication networks

Connection-information-based connection rerouting for connection-oriented mobile communication networks Dstrb. Syst. Engng 5 (1998) 47 65. Prnted n the UK PII: S0967-1846(98)90513-7 Connecton-nformaton-based connecton reroutng for connecton-orented moble communcaton networks Mnho Song, Yanghee Cho and Chongsang

More information

Fast Retransmission of Real-Time Traffic in HIPERLAN/2 Systems

Fast Retransmission of Real-Time Traffic in HIPERLAN/2 Systems Fast Retransmsson of Real-Tme Traffc n HIPERLAN/ Systems José A Afonso and Joaqum E Neves Department of Industral Electroncs Unversty of Mnho, Campus de Azurém 4800-058 Gumarães, Portugal {joseafonso,

More information

An Efficient Garbage Collection for Flash Memory-Based Virtual Memory Systems

An Efficient Garbage Collection for Flash Memory-Based Virtual Memory Systems S. J and D. Shn: An Effcent Garbage Collecton for Flash Memory-Based Vrtual Memory Systems 2355 An Effcent Garbage Collecton for Flash Memory-Based Vrtual Memory Systems Seunggu J and Dongkun Shn, Member,

More information

Performance Evaluation of Information Retrieval Systems

Performance Evaluation of Information Retrieval Systems Why System Evaluaton? Performance Evaluaton of Informaton Retreval Systems Many sldes n ths secton are adapted from Prof. Joydeep Ghosh (UT ECE) who n turn adapted them from Prof. Dk Lee (Unv. of Scence

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT Bran J. Wolf, Joseph L. Hammond, and Harlan B. Russell Dept. of Electrcal and Computer Engneerng, Clemson Unversty,

More information

RAP. Speed/RAP/CODA. Real-time Systems. Modeling the sensor networks. Real-time Systems. Modeling the sensor networks. Real-time systems:

RAP. Speed/RAP/CODA. Real-time Systems. Modeling the sensor networks. Real-time Systems. Modeling the sensor networks. Real-time systems: Speed/RAP/CODA Presented by Octav Chpara Real-tme Systems Many wreless sensor network applcatons requre real-tme support Survellance and trackng Border patrol Fre fghtng Real-tme systems: Hard real-tme:

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

Air Transport Demand. Ta-Hui Yang Associate Professor Department of Logistics Management National Kaohsiung First Univ. of Sci. & Tech.

Air Transport Demand. Ta-Hui Yang Associate Professor Department of Logistics Management National Kaohsiung First Univ. of Sci. & Tech. Ar Transport Demand Ta-Hu Yang Assocate Professor Department of Logstcs Management Natonal Kaohsung Frst Unv. of Sc. & Tech. 1 Ar Transport Demand Demand for ar transport between two ctes or two regons

More information

DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS

DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS Arun Avudanayagam Yuguang Fang Wenjng Lou Department of Electrcal and Computer Engneerng Unversty of Florda Ganesvlle, FL 3261

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

A Hybrid Genetic Algorithm for Routing Optimization in IP Networks Utilizing Bandwidth and Delay Metrics

A Hybrid Genetic Algorithm for Routing Optimization in IP Networks Utilizing Bandwidth and Delay Metrics A Hybrd Genetc Algorthm for Routng Optmzaton n IP Networks Utlzng Bandwdth and Delay Metrcs Anton Redl Insttute of Communcaton Networks, Munch Unversty of Technology, Arcsstr. 21, 80290 Munch, Germany

More information

A Clustering Algorithm for Key Frame Extraction Based on Density Peak

A Clustering Algorithm for Key Frame Extraction Based on Density Peak Journal of Computer and Communcatons, 2018, 6, 118-128 http://www.scrp.org/ournal/cc ISSN Onlne: 2327-5227 ISSN Prnt: 2327-5219 A Clusterng Algorthm for Key Frame Extracton Based on Densty Peak Hong Zhao

More information

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm Seventh Internatonal Conference on Informaton Technology Dervaton of Three Queue Nodes Dscrete-Tme Analytcal Model Based on DRED Algorthm Jafar Ababneh, Hussen Abdel-Jaber, 3 Fad Thabtah, 3 Wael Had, EmranBadarneh

More information

Advanced Computer Networks

Advanced Computer Networks Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana

More information

A Load-balancing and Energy-aware Clustering Algorithm in Wireless Ad-hoc Networks

A Load-balancing and Energy-aware Clustering Algorithm in Wireless Ad-hoc Networks A Load-balancng and Energy-aware Clusterng Algorthm n Wreless Ad-hoc Networks Wang Jn, Shu Le, Jnsung Cho, Young-Koo Lee, Sungyoung Lee, Yonl Zhong Department of Computer Engneerng Kyung Hee Unversty,

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Security Enhanced Dynamic ID based Remote User Authentication Scheme for Multi-Server Environments

Security Enhanced Dynamic ID based Remote User Authentication Scheme for Multi-Server Environments Internatonal Journal of u- and e- ervce, cence and Technology Vol8, o 7 0), pp7-6 http://dxdoorg/07/unesst087 ecurty Enhanced Dynamc ID based Remote ser Authentcaton cheme for ult-erver Envronments Jun-ub

More information

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z. TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of

More information

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour 6.854 Advanced Algorthms Petar Maymounkov Problem Set 11 (November 23, 2005) Wth: Benjamn Rossman, Oren Wemann, and Pouya Kheradpour Problem 1. We reduce vertex cover to MAX-SAT wth weghts, such that the

More information

AUTONOMOUS ROUTING ALGORITHMS FOR NETWORKS WITH WIDE-SPREAD FAILURES

AUTONOMOUS ROUTING ALGORITHMS FOR NETWORKS WITH WIDE-SPREAD FAILURES AUTONOMOUS ROUTNG ALGORTHMS FOR NETWORKS WTH WDE-SPREAD FALURES Wajahat Khan, Long Bao Le and Eytan Modano Communcatons and Networkng Research Group Massachusetts nsttute of Technology Cambrdge, MA, USA

More information

Cache Performance 3/28/17. Agenda. Cache Abstraction and Metrics. Direct-Mapped Cache: Placement and Access

Cache Performance 3/28/17. Agenda. Cache Abstraction and Metrics. Direct-Mapped Cache: Placement and Access Agenda Cache Performance Samra Khan March 28, 217 Revew from last lecture Cache access Assocatvty Replacement Cache Performance Cache Abstracton and Metrcs Address Tag Store (s the address n the cache?

More information

Alignment Results of SOBOM for OAEI 2010

Alignment Results of SOBOM for OAEI 2010 Algnment Results of SOBOM for OAEI 2010 Pegang Xu, Yadong Wang, Lang Cheng, Tany Zang School of Computer Scence and Technology Harbn Insttute of Technology, Harbn, Chna pegang.xu@gmal.com, ydwang@ht.edu.cn,

More information

FAHP and Modified GRA Based Network Selection in Heterogeneous Wireless Networks

FAHP and Modified GRA Based Network Selection in Heterogeneous Wireless Networks 2017 2nd Internatonal Semnar on Appled Physcs, Optoelectroncs and Photoncs (APOP 2017) ISBN: 978-1-60595-522-3 FAHP and Modfed GRA Based Network Selecton n Heterogeneous Wreless Networks Xaohan DU, Zhqng

More information

Optimal Fault-Tolerant Routing in Hypercubes Using Extended Safety Vectors

Optimal Fault-Tolerant Routing in Hypercubes Using Extended Safety Vectors Optmal Fault-Tolerant Routng n Hypercubes Usng Extended Safety Vectors Je Wu Department of Computer Scence and Engneerng Florda Atlantc Unversty Boca Raton, FL 3343 Feng Gao, Zhongcheng L, and Ynghua Mn

More information

On the Exact Analysis of Bluetooth Scheduling Algorithms

On the Exact Analysis of Bluetooth Scheduling Algorithms On the Exact Analyss of Bluetooth Schedulng Algorth Gl Zussman Dept. of Electrcal Engneerng Technon IIT Hafa 3000, Israel glz@tx.technon.ac.l Ur Yechal Dept. of Statstcs and Operatons Research School of

More information

Research Article. ISSN (Print) s k and. d k rate of k -th flow, source node and

Research Article. ISSN (Print) s k and. d k rate of k -th flow, source node and Scholars Journal of Engneerng and Technology (SJET) Sch. J. Eng. Tech., 2015; 3(4A):343-350 Scholars Academc and Scentfc Publsher (An Internatonal Publsher for Academc and Scentfc Resources) www.saspublsher.com

More information

Helsinki University Of Technology, Systems Analysis Laboratory Mat Independent research projects in applied mathematics (3 cr)

Helsinki University Of Technology, Systems Analysis Laboratory Mat Independent research projects in applied mathematics (3 cr) Helsnk Unversty Of Technology, Systems Analyss Laboratory Mat-2.08 Independent research projects n appled mathematcs (3 cr) "! #$&% Antt Laukkanen 506 R ajlaukka@cc.hut.f 2 Introducton...3 2 Multattrbute

More information

A NOTE ON FUZZY CLOSURE OF A FUZZY SET

A NOTE ON FUZZY CLOSURE OF A FUZZY SET (JPMNT) Journal of Process Management New Technologes, Internatonal A NOTE ON FUZZY CLOSURE OF A FUZZY SET Bhmraj Basumatary Department of Mathematcal Scences, Bodoland Unversty, Kokrajhar, Assam, Inda,

More information

A Distributed Three-hop Routing Protocol to Increase the Capacity of Hybrid Wireless Networks

A Distributed Three-hop Routing Protocol to Increase the Capacity of Hybrid Wireless Networks Ths artcle has been accepted for publcaton n a future ssue of ths journal, but has not been fully edted. Content may change pror to fnal publcaton. Ctaton nformaton: DOI.9/TMC.25.2388476, IEEE Transactons

More information

Avoiding congestion through dynamic load control

Avoiding congestion through dynamic load control Avodng congeston through dynamc load control Vasl Hnatyshn, Adarshpal S. Seth Department of Computer and Informaton Scences, Unversty of Delaware, Newark, DE 976 ABSTRACT The current best effort approach

More information

A Topology-aware Random Walk

A Topology-aware Random Walk A Topology-aware Random Walk Inkwan Yu, Rchard Newman Dept. of CISE, Unversty of Florda, Ganesvlle, Florda, USA Abstract When a graph can be decomposed nto clusters of well connected subgraphs, t s possble

More information

Reducing Frame Rate for Object Tracking

Reducing Frame Rate for Object Tracking Reducng Frame Rate for Object Trackng Pavel Korshunov 1 and We Tsang Oo 2 1 Natonal Unversty of Sngapore, Sngapore 11977, pavelkor@comp.nus.edu.sg 2 Natonal Unversty of Sngapore, Sngapore 11977, oowt@comp.nus.edu.sg

More information

Harfoush, Bestavros, and Byers, Robust Identfcaton of Shared Losses Usng End-to-End Uncast Probes 2 Introducton One of the defnng prncples of the netw

Harfoush, Bestavros, and Byers, Robust Identfcaton of Shared Losses Usng End-to-End Uncast Probes 2 Introducton One of the defnng prncples of the netw Robust Identfcaton of Shared Losses Usng End-to-End Uncast Probes Λ Khaled Harfoush Azer Bestavros John Byers harfoush@cs.bu.edu best@cs.bu.edu byers@cs.bu.edu Computer Scence Department Boston Unversty

More information

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT 3. - 5. 5., Brno, Czech Republc, EU APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT Abstract Josef TOŠENOVSKÝ ) Lenka MONSPORTOVÁ ) Flp TOŠENOVSKÝ

More information

Wireless Sensor Network Localization Research

Wireless Sensor Network Localization Research Sensors & Transducers 014 by IFSA Publshng, S L http://wwwsensorsportalcom Wreless Sensor Network Localzaton Research Lang Xn School of Informaton Scence and Engneerng, Hunan Internatonal Economcs Unversty,

More information

Halmstad University Post-Print

Halmstad University Post-Print Halmstad Unversty Post-Prnt Admsson Control for Swtched Realtme Ethernet Schedulng Analyss versus etwor Calculus Xng Fan and Magnus Jonsson.B.: When ctng ths wor cte the orgnal artcle. Orgnal Publcaton:

More information

DUE to the recent popularization of hand-held mobile

DUE to the recent popularization of hand-held mobile IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 15, NO. 4, APRIL 2016 803 Contact Duraton Aware Data Replcaton n DTNs wth Lcensed and Unlcensed Spectrum Jng Zhao, Student Member, IEEE, Xuejun Zhuo, Qnghua

More information

Extending Network Life by Using Mobile Actors in Cluster-based Wireless Sensor and Actor Networks

Extending Network Life by Using Mobile Actors in Cluster-based Wireless Sensor and Actor Networks Extendng Networ Lfe by Usng Moble Actors n Cluster-based Wreless Sensor and Actor Networs Nauman Aslam, Wllam Phllps, Wllam Robertson and S. Svaumar Department of Engneerng Mathematcs & Internetworng Dalhouse

More information

General Share-A-Ride Problem

General Share-A-Ride Problem General Share-A-Rde Problem Sesya Sr Purwant Department of Industral Engneerng, Insttut Tenolog Bandung, Bandung, Indonesa Department of Industral Management, Natonal Tawan Unversty of Scence and Technology,

More information

Network Coding as a Dynamical System

Network Coding as a Dynamical System Network Codng as a Dynamcal System Narayan B. Mandayam IEEE Dstngushed Lecture (jont work wth Dan Zhang and a Su) Department of Electrcal and Computer Engneerng Rutgers Unversty Outlne. Introducton 2.

More information

Hierarchical clustering for gene expression data analysis

Hierarchical clustering for gene expression data analysis Herarchcal clusterng for gene expresson data analyss Gorgo Valentn e-mal: valentn@ds.unm.t Clusterng of Mcroarray Data. Clusterng of gene expresson profles (rows) => dscovery of co-regulated and functonally

More information

Complex Numbers. Now we also saw that if a and b were both positive then ab = a b. For a second let s forget that restriction and do the following.

Complex Numbers. Now we also saw that if a and b were both positive then ab = a b. For a second let s forget that restriction and do the following. Complex Numbers The last topc n ths secton s not really related to most of what we ve done n ths chapter, although t s somewhat related to the radcals secton as we wll see. We also won t need the materal

More information

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp Lfe Tables (Tmes) Summary... 1 Data Input... 2 Analyss Summary... 3 Survval Functon... 5 Log Survval Functon... 6 Cumulatve Hazard Functon... 7 Percentles... 7 Group Comparsons... 8 Summary The Lfe Tables

More information

CSCI 104 Sorting Algorithms. Mark Redekopp David Kempe

CSCI 104 Sorting Algorithms. Mark Redekopp David Kempe CSCI 104 Sortng Algorthms Mark Redekopp Davd Kempe Algorthm Effcency SORTING 2 Sortng If we have an unordered lst, sequental search becomes our only choce If we wll perform a lot of searches t may be benefcal

More information

Enhanced Signaling Scheme with Admission Control in the Hybrid Optical Wireless (HOW) Networks

Enhanced Signaling Scheme with Admission Control in the Hybrid Optical Wireless (HOW) Networks Enhanced Sgnalng Scheme wth Admsson Control n the Hybrd Optcal Wreless (HOW) Networks Yng Yan, Hao Yu, Henrk Wessng, and Lars Dttmann Department of Photoncs Techncal Unversty of Denmark Lyngby, Denmark

More information

Routing in Degree-constrained FSO Mesh Networks

Routing in Degree-constrained FSO Mesh Networks Internatonal Journal of Hybrd Informaton Technology Vol., No., Aprl, 009 Routng n Degree-constraned FSO Mesh Networks Zpng Hu, Pramode Verma, and James Sluss Jr. School of Electrcal & Computer Engneerng

More information

NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK

NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK Prasana kumar. S 1, Deepak.N 2, Tajudeen. H 3, Sakthsundaram. G 4 1,2,3,4Student, Department of Electroncs and Communcaton,

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) ,

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) , VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur FEATURE EXTRACTION Dr. K.Vjayarekha Assocate Dean School of Electrcal and Electroncs Engneerng SASTRA Unversty, Thanjavur613 41 Jont Intatve of IITs and IISc Funded by MHRD Page 1 of 8 Table of Contents

More information

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

PRÉSENTATIONS DE PROJETS

PRÉSENTATIONS DE PROJETS PRÉSENTATIONS DE PROJETS Rex Onlne (V. Atanasu) What s Rex? Rex s an onlne browser for collectons of wrtten documents [1]. Asde ths core functon t has however many other applcatons that make t nterestng

More information

Analysis of a Polling System Modeling QoS Differentiation in WLANs

Analysis of a Polling System Modeling QoS Differentiation in WLANs Analyss of a Pollng System Modelng QoS Dfferentaton n WLANs T.J.M. Coenen Unversty of Twente Department of Appled Mathematcs Enschede, The Netherlands t.j.m.coenen@utwente.nl J.L. van den Berg TNO Informaton

More information

Electrical analysis of light-weight, triangular weave reflector antennas

Electrical analysis of light-weight, triangular weave reflector antennas Electrcal analyss of lght-weght, trangular weave reflector antennas Knud Pontoppdan TICRA Laederstraede 34 DK-121 Copenhagen K Denmark Emal: kp@tcra.com INTRODUCTION The new lght-weght reflector antenna

More information

Delay Variation Optimized Traffic Allocation Based on Network Calculus for Multi-path Routing in Wireless Mesh Networks

Delay Variation Optimized Traffic Allocation Based on Network Calculus for Multi-path Routing in Wireless Mesh Networks Appl. Math. Inf. Sc. 7, No. 2L, 467-474 2013) 467 Appled Mathematcs & Informaton Scences An Internatonal Journal http://dx.do.org/10.12785/ams/072l13 Delay Varaton Optmzed Traffc Allocaton Based on Network

More information

Online Policies for Opportunistic Virtual MISO Routing in Wireless Ad Hoc Networks

Online Policies for Opportunistic Virtual MISO Routing in Wireless Ad Hoc Networks 12 IEEE Wreless Communcatons and Networkng Conference: Moble and Wreless Networks Onlne Polces for Opportunstc Vrtual MISO Routng n Wreless Ad Hoc Networks Crstano Tapparello, Stefano Tomasn and Mchele

More information

THE deployment of mobile sensors is attractive in

THE deployment of mobile sensors is attractive in Autonomous Deployment of Heterogeneous Moble Sensors N. Bartoln, T. Calamoner, T. La Porta, S. Slvestr Abstract In ths paper we address the problem of deployng heterogeneous moble sensors over a target

More information

A KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE

A KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE A KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE 1 TAO LIU, 2 JI-JUN XU 1 College of Informaton Scence and Technology, Zhengzhou Normal Unversty, Chna 2 School of Mathematcs

More information

An efficient iterative source routing algorithm

An efficient iterative source routing algorithm An effcent teratve source routng algorthm Gang Cheng Ye Tan Nrwan Ansar Advanced Networng Lab Department of Electrcal Computer Engneerng New Jersey Insttute of Technology Newar NJ 7 {gc yt Ansar}@ntedu

More information