References. K. Sohraby, D. Minoli, and T. Znati. Wireless Sensor Networks: Technology, Protocols, and
|
|
- Evelyn Fleming
- 6 years ago
- Views:
Transcription
1 Middleware
2 References K. Sohraby, D. Minoli, and T. Znati. Wireless Sensor Networks: Technology, Protocols, and Applications. John Wiley & Sons, (Chapter t 8) Y. Yu, B. Krishnamachari, and V. K. Prasanna. Issues in Designing Middleware for Wireless Sensor Networks. IEEE Network, Vol. 18, Issue 1, pp , January/February
3 Introduction Usually, there is a gap between the applications and network protocols in wireless networks Adaptation functions are needed to satisfy the requirements of special features of WSNs and diversity i of potential applications Middleware A software level between the applications and the underlying operating environment (OS, protocols, etc.) Needs to provide A standardized system services to applications A runtime environment that can support and coordinate multiple applications Mechanisms to achieve adaptive and efficient utilization of system resources 3
4 Challenges 4 Traditional (distributed) ib t d) middleware are not suitable for WSNs, because They generally are heavyweight ht in terms of resource requirements The operating modes of WSNs are different than traditional networks The key problem in WSN is the energy conservation. For it: Efficient mechanisms are needed to selectively activate sleeping nodes The activated nodes need to cooperate with each other for the required signal processing tasks Certain QoS requirements must be met
5 Localized algorithms Design principles p Distributed algorithms that achieve a global goal by local (neighbor) coordination Adaptive fidelity algorithms Trade the quality of the result against resource usage (key element for resource efficiency) Data-centric communication 5 Addressing node by focusing on the data produced on the node Application knowledge For data caching and aggregation
6 A cluster-based architecture 6 A p pl ic a t io n s Application code, specification, QoS requirements, adaptation policies i Application results, resource usage, and QoS statistics Resource management layer Cluster layer Resource description Cluster information QoS interpreter Resource manager Cost models Resource allocation and adaptation Cluster forming and control protocol Virtu ual Machine Data accessibility, node capability, network connectivity i Sensor state control, knob settings, code allocation, cluster control messages Sensor Network
7 A cluster-based architecture 2 The key is to abstract t common properties of applications and map them to the underlying (network) architecture Three-tiered 7 A virtual machine provides an abstraction of the middleware Cluster layer Resource management layer Applications Sensor network
8 Approaches Middleware architecture Dynamic network configuration Databases and queries Data fusion Event detection Monitoring System platforms Data-related functions Data dissemination Data compression Data storage 8
9 MiLAN[1] [] Middleware Linking Applications and Networks Two classes of applications Data-driven Collect and analyze data State-basedt Application requirements may change based on receive data 9
10 IrisNet[2] 10 Internet-Scale Resource-Intensive Sensor Network Services Extends the traditional WSNs to a worldwide sensor web Can integrate a wide range of sensor data, from a high-bit rate to a low-bit rate Two tiers: Sensing agents (SAs) Implement generic data acquisition interface to access sensors Organizing agents (OAs) Implement a distributed database to store service-specific data that SAs produce; uses XML S s p oduce; uses Does not address resource constraints
11 AMF[3] Adaptive Middleware Framework Exploits resource and application QoS trade-offs and predictability of sensor readings to reduce energy consumption Two components Sensor side Sensor state management Precision driven adaptation Server side 11 Maintains a list of active sensors and a list of historic values for each sensor
12 DSWare[4] Data Service Middleware Resides between the application and network layers Integrates t various real-time data services Provides a database-like abstraction to applications Several components Data storage Data caching Group management Event detection Data subscription Scheduling 12
13 CLMF[5] Cluster-Based Lightweight i Middleware Framework Virtual machine with two layers Resource management Resides on cluster head Cluster Distributed among all sensor nodes Includes cluster forming and control protocols Issues resource management commands 13
14 MSM[7] Middleware Service for Monitoring Operates between the transport layer and applications Divides WSN in two regions Dominant Contains a gateway (an intelligent coordinator) acting as a central access point Provides connectivity to the transit network Nondominant Core components include data distribution and monitoring services Used to communicate among devices in WSN Uses an ORB as an interface Not flexible to adjust to a variety of applications 14
15 Em*[9] A software environment for deploying wireless sensor network applications on Linux-based platforms Incorporates tools and services to create WSN applications Can be used to support: Deployment Simulation Emulation Visualization 15
16 Impala[10] Lightweight middleware and API for sensor application adaptation and update Has an event-driven architecture; 5 types of events: Timer, packet, send done, data, and device failure Intended to act as an OS, resource manager, and event filter Has three layers Application layer Adapts applications to various runtime conditions Application adapter Receives and propagates software updates and installs them Event filter Captures and dispatches events to the application updater 16
17 DFuse[11] Middleware only for data fusion For programming fusion applications Focuses on decision making based on 17 Data and information acquired, filtered, and correlated with other relevant information Comprises A data fusion API A distributed algorithm for energy-aware role assignment
18 Device Database System DDS[12] Enables query processing over a device network Supports query types: Historical Snapshot Long-running 18
19 SensorWare[13] [3] Provides a language and runtime environment to support WSN programming d l i d i l di ib d Language model is used to implement a distributed algorithms 19
MIDDLEWARE IN WIRELESS SENSOR NETWORKS (WSNS)
MIDDLEWARE IN WIRELESS SENSOR NETWORKS (WSNS) By: Haitham Amar 1 Jun-12 2010 OUTLINES Introduction The Major Components of WSN-Middleware Reference model for Middleware in WSN Middleware common services
More informationOverview of Sensor Network Routing Protocols. WeeSan Lee 11/1/04
Overview of Sensor Network Routing Protocols WeeSan Lee weesan@cs.ucr.edu 11/1/04 Outline Background Data-centric Protocols Flooding & Gossiping SPIN Directed Diffusion Rumor Routing Hierarchical Protocols
More informationWSN NETWORK ARCHITECTURES AND PROTOCOL STACK
WSN NETWORK ARCHITECTURES AND PROTOCOL STACK Sensing is a technique used to gather information about a physical object or process, including the occurrence of events (i.e., changes in state such as a drop
More informationCOMPARISON OF ENERGY EFFICIENT DATA TRANSMISSION APPROACHES FOR FLAT WIRELESS SENSOR NETWORKS
COMPARISON OF ENERGY EFFICIENT DATA TRANSMISSION APPROACHES FOR FLAT WIRELESS SENSOR NETWORKS Saraswati Mishra 1 and Prabhjot Kaur 2 Department of Electrical, Electronics and Communication Engineering,
More informationRouting protocols in WSN
Routing protocols in WSN 1.1 WSN Routing Scheme Data collected by sensor nodes in a WSN is typically propagated toward a base station (gateway) that links the WSN with other networks where the data can
More informationWireless Sensor Architecture GENERAL PRINCIPLES AND ARCHITECTURES FOR PUTTING SENSOR NODES TOGETHER TO
Wireless Sensor Architecture 1 GENERAL PRINCIPLES AND ARCHITECTURES FOR PUTTING SENSOR NODES TOGETHER TO FORM A MEANINGFUL NETWORK Mobile ad hoc networks Nodes talking to each other Nodes talking to some
More informationImplementing Application Layer Algorithms to Improve Energy Efficiency of a Proprietary Wireless Sensor Network Routing Protocol
Implementing Application Layer Algorithms to Improve Energy Efficiency of a Proprietary Wireless Sensor Network Routing Protocol Authors: Vlad Adrian Cealicu, Dr. Abhaya Induruwa A sensor network usually
More informationMobile Middleware Course. Mobile Platforms and Middleware. Sasu Tarkoma
Mobile Middleware Course Mobile Platforms and Middleware Sasu Tarkoma Role of Software and Algorithms Software has an increasingly important role in mobile devices Increase in device capabilities Interaction
More informationWSN Routing Protocols
WSN Routing Protocols 1 Routing Challenges and Design Issues in WSNs 2 Overview The design of routing protocols in WSNs is influenced by many challenging factors. These factors must be overcome before
More informationIntroduction to Internet of Things Prof. Sudip Misra Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur
Introduction to Internet of Things Prof. Sudip Misra Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture - 35 Software-Defined lot Networking - Part- 1 Having
More informationA Data Collecting and Caching Mechanism for Gateway Middleware in the Web of Things
A Data Collecting and Caching Mechanism for Gateway Middleware in the Web of Things Xuchao Chang, Chunhong Zhang, Li Sun Beijing University of Posts and Telecommunications, Beijing, 100876, China E-mail:
More informationComparison of TDMA based Routing Protocols for Wireless Sensor Networks-A Survey
Comparison of TDMA based Routing Protocols for Wireless Sensor Networks-A Survey S. Rajesh, Dr. A.N. Jayanthi, J.Mala, K.Senthamarai Sri Ramakrishna Institute of Technology, Coimbatore ABSTRACT One of
More informationReferences. Introduction. Publish/Subscribe paradigm. In a wireless sensor network, a node is often interested in some information, but
References Content-based Networking H. Karl and A. Willing. Protocols and Architectures t for Wireless Sensor Networks. John Wiley & Sons, 2005. (Chapter 12) P. Th. Eugster, P. A. Felber, R. Guerraoui,
More informationMobile Wireless Sensor Network enables convergence of ubiquitous sensor services
1 2005 Nokia V1-Filename.ppt / yyyy-mm-dd / Initials Mobile Wireless Sensor Network enables convergence of ubiquitous sensor services Dr. Jian Ma, Principal Scientist Nokia Research Center, Beijing 2 2005
More informationROUTING ALGORITHMS Part 1: Data centric and hierarchical protocols
ROUTING ALGORITHMS Part 1: Data centric and hierarchical protocols 1 Why can t we use conventional routing algorithms here?? A sensor node does not have an identity (address) Content based and data centric
More informationAdaptive Middleware for Distributed Sensor Environments
Adaptive Middleware for Distributed Sensor Environments Xingbo Yu, Koushik Niyogi, Sharad Mehrotra, Nalini Venkatasubramanian University of California, Irvine {xyu, kniyogi, sharad, nalini}@ics.uci.edu
More informationEuropean Network on New Sensing Technologies for Air Pollution Control and Environmental Sustainability - EuNetAir COST Action TD1105
European Network on New Sensing Technologies for Air Pollution Control and Environmental Sustainability - EuNetAir COST Action TD1105 A Holistic Approach in the Development and Deployment of WSN-based
More informationReferences. The vision of ambient intelligence. The missing component...
References Introduction 1 K. Sohraby, D. Minoli, and T. Znadi. Wireless Sensor Networks: Technology, Protocols, and Applications. John Wiley & Sons, 2007. H. Karl and A. Willig. Protocols and Architectures
More informationRab Nawaz Jadoon DCS. Assistant Professor. Department of Computer Science. COMSATS Institute of Information Technology. Mobile Communication
Rab Nawaz Jadoon DCS Assistant Professor COMSATS IIT, Abbottabad Pakistan COMSATS Institute of Information Technology Mobile Communication WSN Wireless sensor networks consist of large number of sensor
More informationNetOp Policy Manager Resource Admission Control Service (RACS) Delivers Content-Driven QoS for Optimal Video-On-Demand Experience
Service (RACS) Delivers Content-Driven QoS for Optimal Video-On-Demand Experience April 2009 White Paper Resource Admission Control is a critical component in delivering bandwidth intensive and content-driven
More informationAnalysis of Cluster based Routing Algorithms in Wireless Sensor Networks using NS2 simulator
Analysis of Cluster based Routing Algorithms in Wireless Sensor Networks using NS2 simulator Ashika R. Naik Department of Electronics & Tele-communication, Goa College of Engineering (India) ABSTRACT Wireless
More informationEvent Driven Routing Protocols For Wireless Sensor Networks
Event Driven Routing Protocols For Wireless Sensor Networks Sherif Moussa 1, Ghada Abdel Halim 2, Salah Abdel-Mageid 2 1 Faculty of Engineering, Canadian University Dubai, Dubai, UAE. 2 Faculty of Engineering,
More informationCACHING IN WIRELESS SENSOR NETWORKS BASED ON GRIDS
International Journal of Wireless Communications and Networking 3(1), 2011, pp. 7-13 CACHING IN WIRELESS SENSOR NETWORKS BASED ON GRIDS Sudhanshu Pant 1, Naveen Chauhan 2 and Brij Bihari Dubey 3 Department
More informationReferences. Forwarding. Introduction...
References Routing Protocols H. Karl and A. Willing. Protocols and Architectures for Wireless Sensor Networks. John Wiley & Sons, 005. (Chapter 11) K. Sohraby, D. Minoli, and T. Znati. Wireless Sensor
More informationChapter 11 Chapter 6
Routing Protocols References H. Karl and A. Willing. Protocols and Architectures for Wireless Sensor Networks. John Wiley & Sons, 2005. (Chapter 11) K. Sohraby, D. Minoli, and T. Znati. Wireless Sensor
More informationLecture 8 Wireless Sensor Networks: Overview
Lecture 8 Wireless Sensor Networks: Overview Reading: Wireless Sensor Networks, in Ad Hoc Wireless Networks: Architectures and Protocols, Chapter 12, sections 12.1-12.2. I. Akyildiz, W. Su, Y. Sankarasubramaniam
More informationAd hoc and Sensor Networks Chapter 3: Network architecture
Ad hoc and Sensor Networks Chapter 3: Network architecture Holger Karl, Andreas Willig, "Protocols and Architectures for Wireless Sensor Networks," Wiley 2005 Goals of this chapter Having looked at the
More informationGrid Computing Systems: A Survey and Taxonomy
Grid Computing Systems: A Survey and Taxonomy Material for this lecture from: A Survey and Taxonomy of Resource Management Systems for Grid Computing Systems, K. Krauter, R. Buyya, M. Maheswaran, CS Technical
More informationCSMA based Medium Access Control for Wireless Sensor Network
CSMA based Medium Access Control for Wireless Sensor Network H. Hoang, Halmstad University Abstract Wireless sensor networks bring many challenges on implementation of Medium Access Control protocols because
More informationAd hoc and Sensor Networks Chapter 3: Network architecture
Ad hoc and Sensor Networks Chapter 3: Network architecture Goals of this chapter Having looked at the individual nodes in the previous chapter, we look at general principles and architectures how to put
More informationA Novel Protocol for Better Energy-Efficiency, Latency and Fault Tolerance in Wireless Sensor Network
A Novel Protocol for Better Energy-Efficiency, Latency and Fault Tolerance in Wireless Sensor Er.Rakesh Kumar Gupta Department of Computer Science & Engineering K.C.Institute of Engineering & Technology
More informationQUALITY OF SERVICE EVALUATION IN IEEE NETWORKS *Shivi Johri, **Mrs. Neelu Trivedi
QUALITY OF SERVICE EVALUATION IN IEEE 802.15.4 NETWORKS *Shivi Johri, **Mrs. Neelu Trivedi *M.Tech. (ECE) in Deptt. of ECE at CET,Moradabad, U.P., India **Assistant professor in Deptt. of ECE at CET, Moradabad,
More informationA Review on Routing Protocols For Wireless Sensor Network
A Review on Routing Protocols For Wireless Sensor Network Archana Chauhan 1 Praveen Sharma 2 M-Tech Student 1, Assit. Prof. 2 & Department of CSE & NGF College of Engineering &Technology Palwal, Haryana,
More informationOutline. CS5984 Mobile Computing. Dr. Ayman Abdel-Hamid, CS5984. Wireless Sensor Networks 1/2. Wireless Sensor Networks 2/2
CS5984 Mobile Computing Outline : a Survey Dr. Ayman Abdel-Hamid Computer Science Department Virginia Tech An Introduction to 1 2 1/2 Advances in micro-electro-mechanical systems technology, wireless communications,
More informationCSC8223 Wireless Sensor Networks. Chapter 3 Network Architecture
CSC8223 Wireless Sensor Networks Chapter 3 Network Architecture Goals of this chapter General principles and architectures: how to put the nodes together to form a meaningful network Design approaches:
More informationQoS-Enabled Video Streaming in Wireless Sensor Networks
QoS-Enabled Video Streaming in Wireless Sensor Networks S. Guo and T.D.C. Little Department of Electrical and Computer Engineering Boston University, Boston, MA 02215 {guosong, tdcl}@bu.edu MCL Technical
More informationSystem Energy Efficiency Lab seelab.ucsd.edu. Jinseok Yang
Jinseok Yang Contents SmartGrid and Wireless Sensor Networks Big data = Worth? Data acquisition User query based WSNs Wireless Sensor Actuator Networks Context extraction Context modeling technique SmartGrid
More informationSelf-Organization in Sensor and Actor Networks
Self-Organization in Sensor and Actor Networks Falko Dressler University of Erlangen, Germany BICENTINNIAL BICINTINNIAL John Wiley & Sons, Ltd Contents Foreword Preface About the Author List of Abbreviations
More informationA Study of Open Middleware for Wireless Sensor Networks
, pp.105-109 http://dx.doi.org/10.14257/astl.2014.60.26 A Study of Open Middleware for Wireless Sensor Networks Chen-Nam 1, Do-Hyeun Kim 2 1,2 Dept. of Computing Engineering Jeju National University Jeju-Si
More informationCONCLUSIONS AND SCOPE FOR FUTURE WORK
Introduction CONCLUSIONS AND SCOPE FOR FUTURE WORK 7.1 Conclusions... 154 7.2 Scope for Future Work... 157 7 1 Chapter 7 150 Department of Computer Science Conclusion and scope for future work In this
More informationStudy on Wireless Sensor Networks Challenges and Routing Protocols
International Research Journal of Applied and Basic Sciences 2013 Available online at www.irjabs.com ISSN 2251-838X / Vol, 5 (7): 824-828 Science Explorer Publications Study on Wireless Sensor Networks
More informationAd hoc and Sensor Networks Chapter 3: Network architecture
Ad hoc and Sensor Networks Chapter 3: Network architecture Holger Karl Computer Networks Group Universität Paderborn Goals of this chapter Having looked at the individual nodes in the previous chapter,
More informationQuery Processing Systems for Wireless Sensor Networks
Query Processing Systems for Wireless Sensor Networks Humaira Ehsan and Farrukh Aslam Khan Department of Computer Science, National University of Computer and Emerging Sciences, A.K. Barohi Road H-11/4,
More informationA REVIEW ON LEACH-BASED HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORK
A REVIEW ON LEACH-BASED HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORK Md. Nadeem Enam 1, Ozair Ahmad 2 1 Department of ECE, Maulana Azad College of Engineering & Technology, Patna, (India)
More informationA Comparative Survey
Contemporary Engineering Sciences, Vol. 7, 2014, no. 13, 649-660 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ces.2014.4671 Middleware Systems for Wireless Sensor Networks: A Comparative Survey
More informationInformation Brokerage
Information Brokerage Sensing Networking Leonidas Guibas Stanford University Computation CS321 Information Brokerage Services in Dynamic Environments Information Brokerage Information providers (sources,
More informationWireless Sensor Networks CS742
Wireless Sensor Networks CS742 Outline Overview Environment Monitoring Medical application Data-dissemination schemes Media access control schemes Distributed algorithms for collaborative processing Architecture
More informationWireless and Sensor Networks - Routing. 3rd Class Deokjai Choi
Wireless and Sensor Networks - Routing 3rd Class Deokjai Choi 1 Outline Introduction Motivation and Design Issues in WSN Routing Routing Challenges in WSNs Flat Routing Hierarchical Routing Adaptive Routing
More information5G/NR Architecture Is it revolutionary or evolutionary?
5G/NR Architecture Is it revolutionary or evolutionary? The 5G-MoNArch view David M. Gutierrez Estevez Senior 5G Researcher Samsung Electronics R&D Institute UK IEEE CSCN, September 2017 Initial Thoughts
More information6WINDGate. White Paper. Packet Processing Software for Wireless Infrastructure
Packet Processing Software for Wireless Infrastructure Last Update: v1.0 - January 2011 Performance Challenges for Wireless Networks As advanced services proliferate and video consumes an ever-increasing
More informationForeword xxiii Preface xxvii IPv6 Rationale and Features
Contents Foreword Preface xxiii xxvii 1 IPv6 Rationale and Features 1 1.1 Internet Growth 1 1.1.1 IPv4 Addressing 1 1.1.2 IPv4 Address Space Utilization 3 1.1.3 Network Address Translation 5 1.1.4 HTTP
More informationMaximizing the Lifetime of Clustered Wireless Sensor Network VIA Cooperative Communication
Vol., Issue.3, May-June 0 pp--7 ISSN: - Maximizing the Lifetime of Clustered Wireless Sensor Network VIA Cooperative Communication J. Divakaran, S. ilango sambasivan Pg student, Sri Shakthi Institute of
More informationHigh Speed Data Collection in Wireless Sensor Network
High Speed Data Collection in Wireless Sensor Network Kamal Kr. Gola a, *, Bhumika Gupta b, Zubair Iqbal c a Department of Computer Science & Engineering, Uttarakhand Technical University, Uttarakhand,
More informationAn Efficient Data-Centric Routing Approach for Wireless Sensor Networks using Edrina
An Efficient Data-Centric Routing Approach for Wireless Sensor Networks using Edrina Rajasekaran 1, Rashmi 2 1 Asst. Professor, Department of Electronics and Communication, St. Joseph College of Engineering,
More informationMobile Agent Driven Time Synchronized Energy Efficient WSN
Mobile Agent Driven Time Synchronized Energy Efficient WSN Sharanu 1, Padmapriya Patil 2 1 M.Tech, Department of Electronics and Communication Engineering, Poojya Doddappa Appa College of Engineering,
More informationMultisensory Agricultural Monitoring Platform
Getting crop infestation knowledge data from central disease server or distributed servers Make a call and follow instructions Web Server (PC Debian GNU/Linux) Get required disease infomation and Store
More informationLocation Based Energy-Efficient Reliable Routing Protocol for Wireless Sensor Networks
Location Based Energy-Efficient Reliable Routing Protocol for Wireless Sensor Networks RAFE ALASEM 1, AHMED REDA 2 AND MAHMUD MANSOUR 3 (1) Computer Science Department Imam Muhammad ibn Saud Islamic University
More informationIJREAT International Journal of Research in Engineering & Advanced Technology, Volume 1, Issue 2, April-May, 2013 ISSN:
Fast Data Collection with Reduced Interference and Increased Life Time in Wireless Sensor Networks Jayachandran.J 1 and Ramalakshmi.R 2 1 M.Tech Network Engineering, Kalasalingam University, Krishnan koil.
More informationA WSN middleware for security and localization services
1st Italian Workshop on Embedded Systems A WSN middleware for security and localization services Speaker Marco Santic Center of Excellence DEWS University of L'Aquila Italy Overview Introduction Concept
More informationThe BITX M2M ecosystem. Detailed product sheet
The BITX M2M ecosystem Detailed product sheet Stop wasting energy! Finally an M2M application development platform that doesn t have you running in circles. Why building it all from scratch every time?
More informationA Hybrid Intrusion Detection System Of Cluster Based Wireless Sensor Networks
A Hybrid Intrusion Detection System Of Cluster Based Wireless Sensor Networks An efficient intrusion detection framework in cluster-based wireless sensor networks Paper: A lightweight hybrid security framework
More informationOptimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization
Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization Madhusmita Nandi School of Electronics Engineering, KIIT University Bhubaneswar-751024, Odisha, India Jibendu
More informationComparison of Energy-Efficient Data Acquisition Techniques in WSN through Spatial Correlation
Comparison of Energy-Efficient Data Acquisition Techniques in WSN through Spatial Correlation Paramvir Kaur * Sukhwinder Sharma # * M.Tech in CSE with specializationl in E-Security, BBSBEC,Fatehgarh sahib,
More informationGeographic Adaptive Fidelity and Geographic Energy Aware Routing in Ad Hoc Routing
309 Geographic Adaptive Fidelity and Geographic Energy Aware Routing in Ad Hoc Routing Sinchan Roychowdhury Instrumentation Control Engineering Calcutta Institute of Engineering & Management Kolkata, India
More informationA NOVEL DISTRIBUTED PROTOCOL FOR RANDOMLY DEPLOYED CLUSTERED BASED WIRELESS SENSOR NETWORK:
A NOVEL DISTRIBUTED PROTOCOL FOR RANDOMLY DEPLOYED CLUSTERED BASED WIRELESS SENSOR NETWORK: 1 SANJAYA KUMAR PADHI, 2 PRASANT KUMAR PATTNAIK 1 Asstt Prof., Department of ComputerSciene and Engineering,
More informationWireless Sensor Networks applications and Protocols- A Review
Wireless Sensor Networks applications and Protocols- A Review Er. Pooja Student(M.Tech), Deptt. Of C.S.E, Geeta Institute of Management and Technology, Kurukshetra University, India ABSTRACT The design
More informationImplementation of enhanced REAC-IN protocol
Implementation of enhanced REAC-IN protocol Amandeep kaur M. Tech student, Computer science Department. Bhai Gurdas Institute Of Engg. And Tech., Sangrur, Punjab(India) Tungaman6@gmail.com Dr. Rajesh kumar
More informationAlma Mater Studiorum University of Bologna CdS Laurea Magistrale (MSc) in Computer Science Engineering
Mobile Systems M Alma Mater Studiorum University of Bologna CdS Laurea Magistrale (MSc) in Computer Science Engineering Mobile Systems M course (8 ECTS) II Term Academic Year 2016/2017 08 Application Domains
More informationScheduling of Multiple Applications in Wireless Sensor Networks Using Knowledge of Applications and Network
International Journal of Information and Computer Science (IJICS) Volume 5, 2016 doi: 10.14355/ijics.2016.05.002 www.iji-cs.org Scheduling of Multiple Applications in Wireless Sensor Networks Using Knowledge
More informationExamining Routing Methods and the Role of Neural Network in Wireless Sensor Networks.
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727, Volume 18, Issue 4, Ver. III (Jul.-Aug. 2016), PP 95-101 www.iosrjournals.org Examining Routing Methods and the Role
More informationEnergy Efficient Collection Tree Protocol in Wireless Sensor Networks
Indian Journal of Science and Technology, Vol 9(45), DOI: 10.17485/ijst/2016/v9i45/89793, December 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Energy Efficient Collection Tree Protocol in Wireless
More informationSl.No Project Title Year
Sl.No Project Title Year WSN(Wireless Sensor ) 1 Distributed Topology Control With Lifetime Extension Based on Non-Cooperative Game for Wireless Sensor 2 Intercept Behavior Analysis of Industrial Wireless
More informationKatholieke Universiteit Leuven Department of Computer Science
A survey of Middleware for Wireless Sensor Networks Wouter Horré Nelson Matthys Sam Michiels Wouter Joosen Pierre Verbaeten Report CW498, August 2007 Katholieke Universiteit Leuven Department of Computer
More informationWireless Sensor Networks: From Science to Reality. Kay Römer ETH Zurich
Wireless Sensor Networks: From Science to Reality Kay Römer ETH Zurich Sensor Networks Ad hoc network of sensor nodes Perceive (sensors) Process (microcontroller) Communicate (radio) Autonomous power supply
More informationQuality of service in wireless sensor networks: mechanisms for a new concept? Holger Karl
Quality of service in wireless sensor networks: mechanisms for a new concept? Holger Karl hkarl@ieee.org Telecommunication Technische Universität Berlin Overview Services and their quality in WSN? How
More informationSPATIAL CORRELATION BASED CLUSTERING ALGORITHM FOR RANDOM AND UNIFORM TOPOLOGY IN WSNs
SPATIAL CORRELATION BASED CLUSTERING ALGORITHM FOR RANDOM AND UNIFORM TOPOLOGY IN WSNs Bhavana H.T 1, Jayanthi K Murthy 2 1 M.Tech Scholar, Dept. of ECE, BMS College of Engineering, Bangalore 2 Associate
More informationBuilding a Profitable Data Future. Monetizing Data Traffic
Building a Profitable Data Future Monetizing Data Traffic Market Introduction Driven by an upsurge in smartphone usage, increased mobile-broadband penetration and enormous growth in video consumption,
More information<Insert Picture Here> Value of TimesTen Oracle TimesTen Product Overview
Value of TimesTen Oracle TimesTen Product Overview Shig Hiura Sales Consultant, Oracle Embedded Global Business Unit When You Think Database SQL RDBMS Results RDBMS + client/server
More informationCHAPTER 2 WIRELESS SENSOR NETWORKS AND NEED OF TOPOLOGY CONTROL
WIRELESS SENSOR NETWORKS AND NEED OF TOPOLOGY CONTROL 2.1 Topology Control in Wireless Sensor Networks Network topology control is about management of network topology to support network-wide requirement.
More informationBraindumpsQA. IT Exam Study materials / Braindumps
BraindumpsQA http://www.braindumpsqa.com IT Exam Study materials / Braindumps Exam : 70-532 Title : Developing Microsoft Azure Solutions Vendor : Microsoft Version : DEMO Get Latest & Valid 70-532 Exam's
More informationQuality of Service in US Air Force Information Management Systems
Quality of Service in US Air Force Information Management Systems Co-hosted by: Dr. Joseph P. Loyall BBN Technologies Sponsored by: 12/11/2009 Material Approved for Public Release. Quality of Service is
More informationMobile Agent Middleware for Autonomic Data Fusion in Wireless Sensor Networks
Mobile Agent Middleware for Autonomic Data Fusion in Wireless Sensor Networks Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos and Grammati Pantziou Abstract Mobile Agents (MAs) are
More informationWIRELESS SENSOR NETWORKS A Networking Perspective Edited by Jun Zheng Abbas Jamalipour A JOHN WILEY & SONS, INC., PUBLICATION WIRELESS SENSOR NETWORKS IEEE Press 445 Hoes Lane Piscataway, NJ 08854 IEEE
More information1 School of Information Science, Computer and Electrical Engineering, Halmstad University, Halmstad, Sweden
Adaptable Middleware for Heterogeneous Wireless Sensor Networks Edison Pignaton Freitas1,2, Per Söderstam1, Wagner Ourique de Morais1, Carlos Eduardo Pereira2,3, and Tony Larsson1 1 School of Information
More informationDE-LEACH: Distance and Energy Aware LEACH
DE-LEACH: Distance and Energy Aware LEACH Surender Kumar University of Petroleum and Energy Studies, India M.Prateek, N.J.Ahuja University of Petroleum and Energy Studies, India Bharat Bhushan Guru Nanak
More informationDesign of Next Generation Internet Based on Application-Oriented Networking
Design of Next Generation Internet Based on Application-Oriented Networking Yu Cheng Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago, Illinois, USA cheng@iit.edu
More informationISSN: X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 6, Issue 1, January 2017
Energy Efficient Hierarchical Clustering Algorithm for Heterogeneous Wireless Sensor Networks Ritu Department of Electronics and Communication Engineering Guru Nanak Institute of Technology Mullana (Ambala),
More informationptop: A Process-level Power Profiling Tool
ptop: A Process-level Power Profiling Tool Thanh Do, Suhib Rawshdeh, and Weisong Shi Wayne State University {thanh, suhib, weisong}@wayne.edu ABSTRACT We solve the problem of estimating the amount of energy
More informationAN EFFICIENT MAC PROTOCOL FOR SUPPORTING QOS IN WIRELESS SENSOR NETWORKS
AN EFFICIENT MAC PROTOCOL FOR SUPPORTING QOS IN WIRELESS SENSOR NETWORKS YINGHUI QIU School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, 102206, China ABSTRACT
More informationCloud Based IoT Application Provisioning (The Case of Wireless Sensor Applications)
Cloud Based IoT Application Provisioning (The Case of Wireless Sensor Applications) (ENCS 691K Chapter 7) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/
More informationWireless Sensor Network Protocol for Smart Parking Application
Wireless Sensor Network Protocol for Smart Parking Application Experimental Study on the Arduino Platform Ostiz L., Pita C., Doggen J.*, Dams T., Van Houtven P. *jeroen.doggen@artesis.be September 25,
More informationSolidFire and Pure Storage Architectural Comparison
The All-Flash Array Built for the Next Generation Data Center SolidFire and Pure Storage Architectural Comparison June 2014 This document includes general information about Pure Storage architecture as
More informationData Gathering for Wireless Sensor Network using PEGASIS Protocol
Data Gathering for Wireless Sensor Network using PEGASIS Protocol Kumari Kalpna a, Kanu Gopal b, Navtej katoch c a Deptt. of ECE, College of Engg.& Mgmt.,Kapurthala, b Deptt. of CSE, College of Engg.&
More informationRouting over Low Power and Lossy Networks
outing over Low Power and Lossy Networks Analysis and possible enhancements of the IETF PL routing protocol Enzo Mingozzi Associate Professor @ University of Pisa e.mingozzi@iet.unipi.it outing over LLNs
More informationAnalysis of Cluster-Based Energy-Dynamic Routing Protocols in WSN
Analysis of Cluster-Based Energy-Dynamic Routing Protocols in WSN Mr. V. Narsing Rao 1, Dr.K.Bhargavi 2 1,2 Asst. Professor in CSE Dept., Sphoorthy Engineering College, Hyderabad Abstract- Wireless Sensor
More informationAbstract. Figure 1. Typical Mobile Sensor Node IJERTV2IS70270
Base Station Assisted Routing Protocol For Wireless Sensor Network Vaibhav Pratap Singh and Harish Kumar Gurgaon Institute of Technology and Management (GITM), Gurgaon (Haryana), INDIA Abstract A wireless
More informationIssues in Designing Middleware for Wireless Sensor Networks
1 Issues in Designing Middleware for Wireless Sensor Networks Yang Yu, Bhaskar Krishnamachari, and Viktor K. Prasanna Department of EE-Systems University of Southern California Los Angeles, CA 90089-2562
More informationMcAfee Product Entitlement Definitions
McAfee Product Entitlement Definitions Corporate Headquarters 2821 Mission College Blvd. Santa Clara, CA 95054 USA Application Server CPU CPU Core Database Database Instance Entity File Submission Daily
More informationOracle SOA Suite 11g: Build Composite Applications
Oracle University Contact Us: 1.800.529.0165 Oracle SOA Suite 11g: Build Composite Applications Duration: 5 Days What you will learn This course covers designing and developing SOA composite applications
More informationSelf-Organization in Autonomous Sensor/Actuator Networks [SelfOrg]
Self-Organization in Autonomous Sensor/Actuator Networks [SelfOrg] PD Dr.-Ing. Falko Dressler Computer Networks and Communication Systems Department of Computer Science University of Erlangen http://www7.informatik.uni-erlangen.de/~dressler/
More information