Research on the Checkpoint Server Selection Strategy Based on the Mobile Prediction in Autonomous Vehicular Cloud
|
|
- Job Hugo Clarke
- 5 years ago
- Views:
Transcription
1 2016 International Conference on Service Science, Technology and Engineering (SSTE 2016) ISBN: Research on the Checkpoint Server Selection Strategy Based on the Mobile Prediction in Autonomous Vehicular Cloud Wen-Di CHI a, Ru LI b,*, Peng-Fei FAN c Inner Mongolia University Computer College, China a chiwendi@126.com, b liru@imu.edu.cn, c lyzfpf@163.com *Corresponding author Keywords: Autonomous Vehicular Cloud, Mobile Prediction, Checkpoint Server, OPNET. Abstract. With the continuous development of wireless communication technology and the improvement in the performance of the vehicular device, the concept of Autonomous Vehicular Cloud (AVC) has emerged. Vehicular Cloud can provide abundant resources and services, but the high mobility of highway vehicle nodes leads to the network communication time is short, therefore allocated resources lost easily. This paper will focus on solving the problem of the low efficiency of the resource aggregation and distribution of the vehicle nodes in the highway scene. Based on the particularity of the Vehicular cloud in the highway, this paper introduces the checkpoint server selection mechanism which is based on mobility prediction and proposes two checkpoint server selection schemes, one is the choice of relative task initiating node stability of the vehicle node, the other is the choice of relative task executing node stability of the vehicle node. This paper uses OPNET Network simulation tool to evaluate the two schemes mentioned above based on various scenarios of different node density. Finally, the empirical conclusion is that the selected checkpoint based on mobility prediction methods is more stable, can improve the efficiency of resource aggregation and allocation, and vehicle node is more sparse, the enhanced effect is more obvious. Introduction As the improvement of the performance of modern mobile communication devices, the Vehicular Ad hoc Network (VANET) has attracted much attention. On the other hand, cloud computing it still steady development with its irreplaceable position in recent years. The background that this paper based on is combining VANET with cloud computing organically, named Autonomous Vehicular Cloud (AVC) [1]. In AVC, vehicle nodes has the following characteristics, for the urban road, vehicle nodes are prone to accumulate, leading to a dense distribution and a low average speed of vehicle nodes; And for the highway, vehicle nodes distribute non-uniformly, the average speed of vehicle nodes is high, the phenomenon of overtaking among vehicle nodes is frequent. In order to solve the problem mentioned above, this paper focuses on improving the efficiency in resource aggregation and distribution of vehicle nodes in the highway. In addition, this paper introduces the checkpoint server, and proposes the checkpoint server selection mechanism based on mobility prediction to improve the the efficiency of resource aggregation and allocation. In this paper, we introduce the checkpoint server should be described in this way: Firstly, a backup server, saves part of resources had been allocated or collected; secondly, a transfer station, it can provide quickly and effectively, when this part of the resources is required by other nodes. 262
2 Related work Olariu in 2010 proposed the concept of AVC [2], in recent years related studies are also the discussion of the concept of Vehicular Cloud, application scenarios and framework [3,4]. The studies relate to the mechanism of AVC resources aggregation and allocation are basic in the blank, however the resources Vehicular Cloud can provide are huge. Therefore, how to solve resource aggregation and allocation efficiently is a crucial problem. In the literature [5], the authors propose a coordination point selection mechanism, and implement local clustering dynamically based on the coordination point selection protocol, so the coordination point can aggregate resources clustering. The author uses the cluster structure in the network strong communication ability to achieve the resources aggregation and distribution, is to build clusters and maintenance more efficient, the more the efficiency of resource aggregation and distribution. However, the network environment proposed by the coordination point selection mechanism in the literature [5] is also in AVC, but their research objects are the vehicles in the city road. Because the distribution of vehicles in the city road is dense, travel speed is slow, so this coordination point selection mechanism is very suitable, and this is also the reason that the survival time as an important basis for the choice. While facing the highway vehicle nodes, the speed is faster than urban road nodes, overtaking phenomenon is extreme common, these reasons make the coordination point selection mechanism is not suitable for this paper. Also, this coordination point selection mechanism manages resources within the clusters by cluster structure, and the particularity of the highway vehicle nodes show that to build clusters among highway vehicle nodes is an unwise choice. Because it is not suitable to build cluster in the highway, therefore in literature [6],making cluster head node as the guideline for choosing checkpoint server is not workable in this paper, however, authors mentioned choosing the neighbor node of the task undertaking node as the checkpoint server in the literature [7], broadening the mind for this paper to put forward to the checkpoint server selection mechanism based on mobility prediction. In literature [8], it judges the link stability by calculating the Link Expiration Time (LET), this metod is mainly used to improve the efficiency of routing protocol. According to the method of judging the link stability mentioned above, this paper puts forward to the method that using the vehicle node mobile information to estimate Link Expiration Time between the vehicle nodes. Checkpoint Server Based on Mobile Prediction Mobile Prediction Model Descriptions The mobile prediction model in this paper is applicable to communicate with the vehicles in highway without the base station and the requirements of the design is the fast method to calculate the link stability, specifically, using the mobile information of vehicle nodes, calculating the Link Expiration Time between the nodes hop by hop, and according to the Link Expiration Time of the bottleneck link to judge the stability of the whole link, so as to choose a relatively stable link. 1) The stability of the link 263
3 Due to the high mobility of the vehicle nodes in VANET, making the topology of the network change more frequently than other mobile Ad hoc network, the way to find a lasting, stable and efficient communication path in VANET whose topology changes frequently has been the focus of attention in academia. The stability prediction method of the communication path selection of communication path improves the efficiency of communication at a certain. Usually one communication path is composed of multiple links, and the stability of the whole path depends on the stability of the bottleneck link. 2)Calculation of Link Expiration Time The basic formula, as shown in the formula 3.1: LET = R + V α * i ± V D j ij (1) LET: the Link Expiration Time between nodes R: the longest transmission distance of one hop D ij : the distance between two nodes V i, V j : the speed of the node α: as a parameter, the value is±1. When V i < V j, the value of α is 1; When V i > V j, the value of α is -1. Assuming at a certain moment, two nodes i and j can communicate with each other directly, as shown in Fig.1: Figure 1. The Calculation Method of Link Duration Schematic of First Situation. All of the above mentioned conditions are the same direction of the two node, if the direction of the two nodes is opposite, only the relative speed will be V i +V j, while the other parts are unchanged. The Process of the Checkpoint Server Selection based on Mobility Prediction Selecting the checkpoint server is divided into several stages: 1) The task initiating node send hop inquiry packet, which contains the location information, speed information of the current node, and IP address of task initiating node; 2) When the normal node receives the hop inquiry packet, it has the following actions: First, recording the IP address of the forwarding node and getting the data in the packet hops; Second, calculating the LET between the current node and the last hop node; Third, filling the hop inquiry packet with the current nodes speed and position information, and forwarding the hop inquiry packet. Finally, filling the hops reply packet with the information of the hop between the current node and the task initiating node, the IP address of the last hop node, and the LET between the current node and the last hop node, and forwarding the hop reply packet; 264
4 3) After the task initiating node receives all the hop reply packets, it has the following actions: First, recording the data in the hop reply packet, and selecting a task execution node randomly among the nodes which have replied the hop reply packet; Second, according to the last hop IP address of all the hop reply packets can construct the global topology between the task initiating node and task executing node; 4) Comparing the LET of the bottleneck link in each link, and the link whose LET of the bottleneck link is the longest of the relatively stable link; 5) According to the selected stability link, finding the bottleneck link and selecting the checkpoint server. OPNET Simulation Environment and the Analysis of the Experimental 1) Task instance description This paper in the experimental stage, assigns the task of large number factorial for vehicle nodes, participating with many nodes, distributed execution, followed by the no checkpoint server, selecting the checkpoint server based on mobility prediction (the choice of relative task initiating node stability, the choice of relative task executing node stability), selecting the checkpoint server randomly, all kinds of schemes are carried out the simulation respectively in different network topologies. In order to make the task instance have little effect on the final experimental results. This paper choose to the factorial of 1000 as the task instance, divide the task into multiple steps and assign to the task executing node sequentially. This task has such benefits, it no depends on execution order between sub tasks, and the calculation of the factorial of 1000 compared with general simple task is time-consuming. In a certain extent, this task can represent a class of task. This paper sets up six scenarios, each of which is independent of each other, and the number of nodes in each scene is 50, 60, 70, 80, 90, 100.Six scenarios and four kinds of comparing scheme, according to the principle of controlling variables, it needs to carry out 24 groups of experiments. In order to compare the advantages or disadvantages of different checkpoint server selection scheme, the number of simulation times is 1000, each simulation only assigned one task, recording the task execution is successful or not after each simulation, finally, counting the rate of task completion of 1000 times. 2) Introduction of simulation environment The specific settings of OPNET simulation parameters, as is shown in Table.1: Table 1. The Simulation Parameters of OPNET. Parameter Type Simulation Platform Parameter Value Windows7+OPNET14.5 Number of nodes 50,60,70,80,90,100 Wireless Transmission Protocol b Transmission Data Rate 11Mbps Radio Signal Transmission Power 0.005W Packet Received Power Threshold -76dBm Signal Propagation Distance 125m Routing Protocol AODV 265
5 The original intention of using the VanetMobiSim traffic simulation tool is to establish a scene as close as possible to the real highway. Therefore, it is very important to construct a suitable traffic flow scene. According to the needs of users, VanetMobiSim can configure the corresponding parameters in the XML file to generate the vehicle trajectory file, the specific parameters settings of VanetMobiSim, as is shown in Table.2: Table 2. The Simulation Parameters of VanetMobiSim. Parameter Type Parameter Value Range m *200m 2 Initial Position Random Minimum Speed m/s 19.4m/s Maximum Speed m/s 33.3m/s Maximum Acceleration m/s 2 0.6m/s 2 Maximum Deceleration m/s 2 0.9m/s 2 Safe Distance m 100m Vehicle Lane Two-way 4 Lane Mobility Model IDM_LC 1) Simulation results In this section, the simulation results of four kinds of checkpoint server selection schemes in six scenarios will be given. The abscissa of the simulation results marks the number of vehicle nodes, the ordinate marks the rate of task completion of 1000 times, the simulation results is shown in Fig.2: Figure 2. Simulation Result. 2) Conclusions of the experiment After a comprehensive comparison of the simulation results, the conclusion is that compared to not choosing the checkpoint server and selecting the checkpoint server randomly, the method based on mobility prediction can make the task completion rate higher. It is enough to explain selecting the checkpoint server based on mobility prediction method is reasonable. Also based 266
6 on mobility prediction method, compared the relative task initiating node stability with the relative task executing stability node, choosing the former can make the task completion rate higher; In addition, the improve of task completion rate is the most obvious in the situation that vehicle density is smaller. This conclusion is reasonable, because with the increase of the number of vehicle nodes, the whole network topology tends to be stable. Therefore, when the vehicle density is high, task completion rate tends to be stable. Remarks This paper proposes the checkpoint server selection scheme based on mobile prediction in AVC, and builds a stable link by calculating the LET between nodes. Then this paper compares the different checkpoint server selection scheme, and proves the advantage of the method based on mobility prediction, finally draw the conclusion that choosing the relative task initiating node stability of vehicle node as the checkpoint server is more reasonable. Acknowledgement This research was financially supported by The National Natural Science Foundation. References [1] Eltoweissy M, Olariu S, Younis M. Towards autonomous vehicular clouds [M]. Ad hoc networks. Springer Berlin Heidelberg, 2010: [2] Lochert C, Scheuermann B, Wewetzer C, et al. Data aggregation and roadside unit placement for a vanet traffic information system[c]. Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking. ACM, 2008: [3] Olariu S, Hristov T, Yan G. The next paradigm shift: from vehicular networks to vehicular clouds [J]. Basagni, S. and Conti, M. and Giordano, S. Stojmenovic, I), (Eds), Mobile Ad hoc networking: the cutting edge directions, Wiley and Sons, New York, [4] Olariu S, Khalil I, Abuelela M. Taking VANET to the clouds [J]. International Journal of Pervasive Computing and Communications, 2011, 7(1): [5] Jingguo Ma. A Research on the Cluster Coordinator Selected Mechanism based on Autonomous Vehicular Cloud [D]. Inner Mongolia University, [6] T.Y.T. Juang and M. C. Liu, An EfficientAsynchronous Recovery Algorithm In Wireless MobileAd HocNetworks, Journal of Internet Technology, Vol. 3, No.2, 2002, [7] A. K.Singh, P. K. Jaggi, Staggered Checkpointingand Recovery in Cluster Based Mobile Ad HocNetworks,International Conference on Parallel,Distributed Computing technologies andapplications Springer Proceedings [8] Namboodiri V, Gao L. Prediction-based routing for vehicular ad hoc networks [J]. Vehicular Technology, IEEE Transactions on, 2007, 56(4):
Analyzing Routing Protocols Performance in VANET Using p and g
Analyzing Routing Protocols Performance in VANET Using 802.11p and 802.11g Rasha Kaiss Aswed and Mohammed Ahmed Abdala Network Engineering Department, College of Information Engineering, Al-Nahrain University
More informationAanchal Walia #1, Pushparaj Pal *2
An Implemented approach of VANET using Location Information based Technique for safe city and vehicle Aanchal Walia #1, Pushparaj Pal *2 #1. M.Tech Scholor,ECE,Krukshetra University, *2. A.P.ECE Department,
More informationPERFORMANCE EVALUATION OF DSDV, AODV ROUTING PROTOCOLS IN VANET
PERFORMANCE EVALUATION OF DSDV, AODV ROUTING PROTOCOLS IN VANET K. Venkateswarlu 1, G. Murali 2 1 M. Tech, CSE, JNTUA College of Engineering (Pulivendula), Andhra Pradesh, India 2 Asst.Prof (HOD), CSE,
More informationHistogram-Based Density Discovery in Establishing Road Connectivity
Histogram-Based Density Discovery in Establishing Road Connectivity Kevin C. Lee, Jiajie Zhu, Jih-Chung Fan, Mario Gerla Department of Computer Science University of California, Los Angeles Los Angeles,
More informationA Multipath AODV Reliable Data Transmission Routing Algorithm Based on LQI
Sensors & Transducers 2014 by IFSA Publishing, S. L. http://www.sensorsportal.com A Multipath AODV Reliable Data Transmission Routing Algorithm Based on LQI 1 Yongxian SONG, 2 Rongbiao ZHANG and Fuhuan
More informationRouting Protocol with Quality Optimization for Vehicular Ad Hoc Networks
Routing Protocol with Quality Optimization for Vehicular Ad Hoc Networks E. Priyanka 1, M.Vijaya Kanth 2 M.Tech, Department of CSE, JNTUACE, Ananthapuramu, Andhra Pradesh, India 1 Lecturer, Department
More informationPerformance Enhancement of Routing Protocols for VANET With Variable Traffic Scenario
Performance Enhancement of Routing Protocols for VANET With Variable Traffic Scenario Uttara Vyas 1, Prof. Kamlesh Chopra 2, Prof. Prashant Lakkadwala 3 1 Computer Science and Engineering,Acropolis Technical
More informationCROSS LAYER USING END-TO-END DELAY ASSESSMENT FOR ROUTING PROTOCOL IN VEHICULAR AD HOC NETWORK
CROSS LAYER USING END-TO-END DELAY ASSESSMENT FOR ROUTING PROTOCOL IN VEHICULAR AD HOC NETWORK Le Van Minh a,b, Yang MingChuan a, and Guo Qing a a Communication research center, Harbin Institute of Technology,
More informationInternational Journal of Information Movement. Website: ISSN: (online) Pages
REVIEW: VANET ARCHITECTURES AND DESIGN Chetna Research Scholar Department Of Electronic & Communication Engg. Galaxy Global Group of Institutions, Dinarpur Saranjeet Singh Faculty Department of Electronic
More informationPerformance Evaluation of VoIP over VANET
(International Journal of Computer Science & Management Studies) Vol. 17, Issue 01 Performance Evaluation of VoIP over VANET Dr. Khalid Hamid Bilal Khartoum, Sudan dr.khalidbilal@hotmail.com Publishing
More informationAnalysis of GPS and Zone Based Vehicular Routing on Urban City Roads
Analysis of GPS and Zone Based Vehicular Routing on Urban City Roads Aye Zarchi Minn 1, May Zin Oo 2, Mazliza Othman 3 1,2 Department of Information Technology, Mandalay Technological University, Myanmar
More informationAn Efficient Data Transmission in VANET Using Clustering Method
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2017, VOL. 63, NO. 3, PP. 309-313 Manuscript received April 29, 2016; revised July, 2017. DOI: 10.1515/eletel-2017-0045 An Efficient Data Transmission
More informationDetection and Removal of Blackhole Attack Using Handshake Mechanism in MANET and VANET
IOSR Journal of Mobile Computing & Application (IOSR-JMCA) e-issn: 2394-0050, P-ISSN: 2394-0042.Volume 2, Issue 1. (Mar. - Apr. 2015), PP 01-05 www.iosrjournals.org Detection and Removal of Blackhole Attack
More informationMethods to Resolve Traffic Jams using VANET
Methods to Resolve Traffic Jams using VANET Rohit Kumar Department of Computer Sc. & Engineering Chandigarh University, Gharuan Mohali, Punjab Abstract - In this paper we have proposed a method to avoid
More informationImproving Energy and Efficiency in cluster based VANETs through AODV Protocol
Improving Energy and Efficiency in cluster based VANETs through AODV Protocol Prerana Deshmukh PG Department of Computer Science and Engineering, J.D.College of Engineering & Managment, RTMNU, Maharashtra,
More informationIntelligent Transportation System For Vehicular Ad-Hoc Networks
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 2, ISSUE 6 69 Intelligent Transportation System For Vehicular Ad-Hoc Networks T. Sujitha, S. Punitha Devi Department
More informationA Review on Vehicular Ad-Hoc Network
A Review on Vehicular Ad-Hoc Network Arshdeep Kaur 1, Shilpa Sharma 2 M.Tech Student, Dept. of Computer Science Engineering, Lovely Professional University, Phagwara, Punjab, India 1 Assistant Professor,
More informationZigBee Routing Algorithm Based on Energy Optimization
Sensors & Transducers 2013 by IFSA http://www.sensorsportal.com ZigBee Routing Algorithm Based on Energy Optimization Wangang Wang, Yong Peng, Yongyu Peng Chongqing City Management College, No. 151 Daxuecheng
More informationA Scheme of Multi-path Adaptive Load Balancing in MANETs
4th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2016) A Scheme of Multi-path Adaptive Load Balancing in MANETs Yang Tao1,a, Guochi Lin2,b * 1,2 School of Communication
More informationEnergy Aware Node Placement Algorithm for Wireless Sensor Network
Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 6 (2014), pp. 541-548 Research India Publications http://www.ripublication.com/aeee.htm Energy Aware Node Placement Algorithm
More informationVarying Overhead Ad Hoc on Demand Vector Routing in Highly Mobile Ad Hoc Network
Journal of Computer Science 7 (5): 678-682, 2011 ISSN 1549-3636 2011 Science Publications Varying Overhead Ad Hoc on Demand Vector Routing in Highly Mobile Ad Hoc Network 1 V. Balaji and 2 V. Duraisamy
More informationReliable Routing for Roadside to Vehicle Communications in Rural Areas
Reliable Routing for Roadside to Vehicle Communications in Rural Areas Shen Wan, Jian Tang and Richard S. Wolff Abstract The demands for vehicular Internet access are proliferating. Access Points (APs)
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 informationMobile-Gateway Routing for Vehicular Networks 1
Mobile-Gateway Routing for Vehicular Networks 1 Hsin-Ya Pan, Rong-Hong Jan 2, Andy An-Kai Jeng, and Chien Chen Department of Computer Science National Chiao Tung University Hsinchu, 30010, Taiwan {hypan,
More informationA New Distance Independent Localization Algorithm in Wireless Sensor Network
A New Distance Independent Localization Algorithm in Wireless Sensor Network Siwei Peng 1, Jihui Li 2, Hui Liu 3 1 School of Information Science and Engineering, Yanshan University, Qinhuangdao 2 The Key
More informationOptimization on TEEN routing protocol in cognitive wireless sensor network
Ge et al. EURASIP Journal on Wireless Communications and Networking (2018) 2018:27 DOI 10.1186/s13638-018-1039-z RESEARCH Optimization on TEEN routing protocol in cognitive wireless sensor network Yanhong
More informationLow Overhead Geometric On-demand Routing Protocol for Mobile Ad Hoc Networks
Low Overhead Geometric On-demand Routing Protocol for Mobile Ad Hoc Networks Chang Su, Lili Zheng, Xiaohai Si, Fengjun Shang Institute of Computer Science & Technology Chongqing University of Posts and
More informationPerformance Analysis of MANET Routing Protocols OLSR and AODV
VOL. 2, NO. 3, SEPTEMBER 211 Performance Analysis of MANET Routing Protocols OLSR and AODV Jiri Hosek Faculty of Electrical Engineering and Communication, Brno University of Technology Email: hosek@feec.vutbr.cz
More informationEFFICIENT TRAJECTORY PROTOCOL FOR MULTICASTING IN VEHICULAR AD HOC NETWORKS
EFFICIENT TRAJECTORY PROTOCOL FOR MULTICASTING IN VEHICULAR AD HOC NETWORKS Nandhini P. 1 and Ravi G. 2 1 Department of Electronics and Communication Engineering, Communication Systems, Sona College of
More informationDESIGN AND DEVELOPMENT OF A WIRELESS SENSOR MODEL FOR VEHICULAR AREA NETWORKS
DESIGN AND DEVELOPMENT OF A WIRELESS SENSOR MODEL FOR VEHICULAR AREA NETWORKS Umesh P, G.Varaprasad Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore 5600 19, India.
More informationSIMULATION BASED AND ANALYSIS OF ROUTING PROTOCOLS FOR VANET USING VANETMOBISIM AND NS-2
International Journal of Computer Engineering & Technology (IJCET) Volume 6, Issue 9, Sep 2015, pp. 32-41, Article ID: IJCET_06_09_004 Available online at http://www.iaeme.com/ijcet/issues.asp?jtype=ijcet&vtype=6&itype=9
More informationReplica Distribution Scheme for Location-Dependent Data in Vehicular Ad Hoc Networks using a Small Number of Fixed Nodes
Replica Distribution Scheme for Location-Dependent Data in Vehicular d Hoc Networks using a Small Number of Fixed Nodes Junichiro Okamoto and Susumu Ishihara Graduate School of Engineering, Shizuoka University,
More informationReliable Routing In VANET Using Cross Layer Approach
Reliable Routing In VANET Using Cross Layer Approach 1 Mr. Bhagirath Patel, 2 Ms. Khushbu Shah 1 Department of Computer engineering, 1 LJ Institute of Technology, Ahmedabad, India 1 er.bhagirath@gmail.com,
More informationVorlesung Kommunikationsnetze Research Topics: QoS in VANETs
Vorlesung Kommunikationsnetze Research Topics: QoS in VANETs Prof. Dr. H. P. Großmann mit B. Wiegel sowie A. Schmeiser und M. Rabel Sommersemester 2009 Institut für Organisation und Management von Informationssystemen
More informationPerformance Comparison of Mobility Generator C4R and MOVE using Optimized Link State Routing (OLSR)
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 06, Issue 11 (November. 2016), V1 PP 25-29 www.iosrjen.org Performance Comparison of Mobility Generator and MOVE using
More informationLearning the Three Factors of a Non-overlapping Multi-camera Network Topology
Learning the Three Factors of a Non-overlapping Multi-camera Network Topology Xiaotang Chen, Kaiqi Huang, and Tieniu Tan National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy
More informationConnectivity, Energy and Mobility Driven Clustering Algorithm for Mobile Ad Hoc Networks
Connectivity, Energy and Mobility Driven Clustering Algorithm for Mobile Ad Hoc Networks Fatiha Djemili Tolba University of Haute Alsace GRTC Colmar, France fatiha.tolba@uha.fr Damien Magoni University
More informationCar-2-X Simulations: Dezentrale Systeme und Netzdienste Institut für Telematik. Dr. Jérôme Härri
Car-2-X Simulations: Tools, Methodology, Performance Results Dezentrale Systeme und Netzdienste Institut für Telematik Dr. Jérôme Härri With help of J. Mittag, F. Schmidt-Eisenlohr, M. Killat T. Tiellert,
More informationParallel Evaluation of Hopfield Neural Networks
Parallel Evaluation of Hopfield Neural Networks Antoine Eiche, Daniel Chillet, Sebastien Pillement and Olivier Sentieys University of Rennes I / IRISA / INRIA 6 rue de Kerampont, BP 818 2232 LANNION,FRANCE
More informationVertex-Based Multihop Vehicle-to-Infrastructure Routing for Vehicular Ad Hoc Networks
Vertex-Based Multihop Vehicle-to-Infrastructure Routing for Vehicular Ad Hoc Networks Raj K. Shrestha, Sangman Moh, Ilyong Chung, and Dongmin Choi Dept. of Computer Engineering, Chosun University 375 Seoseok-dong,
More informationCongestion Control Technique with Safety Transmission of Messages in Vehicular Ad Hoc Network
Congestion Control Technique with Safety Transmission of Messages in Vehicular Ad Hoc Network Bhagyashri P. Deshpande 1, Dr.A.S.Alvi 2 1 M.E(CSE) PRMIT&R, Badnera, Amravati 2 Professor,Dept. of CSE PRMIT&R,Badnera,
More informationA PMU-Based Three-Step Controlled Separation with Transient Stability Considerations
Title A PMU-Based Three-Step Controlled Separation with Transient Stability Considerations Author(s) Wang, C; Hou, Y Citation The IEEE Power and Energy Society (PES) General Meeting, Washington, USA, 27-31
More informationPerformance Evaluation of Modified IEEE MAC for Multi-Channel Multi-Hop Ad Hoc Network *
Performance Evaluation of Modified IEEE 802.11 MAC for Multi-Channel Multi-Hop Ad Hoc Network * Jiandong LI ISN Lab., Xidian University JL384@cornell.edu Zygmunt J. Haas Cornell University haas@ece.cornell.edu
More informationEvaluation of Information Dissemination Characteristics in a PTS VANET
Evaluation of Information Dissemination Characteristics in a PTS VANET Holger Kuprian 1, Marek Meyer 2, Miguel Rios 3 1) Technische Universität Darmstadt, Multimedia Communications Lab Holger.Kuprian@KOM.tu-darmstadt.de
More informationAn Analysis of Simulators for Vehicular Ad hoc Networks
World Applied Sciences Journal 23 (8): 1044-1048, 2013 ISSN 1818-4952 IDOSI Publications, 2013 DOI: 10.5829/idosi.wasj.2013.23.08.584 An Analysis of Simulators for Vehicular Ad hoc Networks Syed A. Hussain
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK COMPARISON OF MANET REACTIVE ROUTING PROTOCOLS USING OPNET SIMULATOR SANGEETA MONGA
More informationA Priority based Congestion Prevention Technique for Vehicular Ad-Hoc Networks
Computing For Nation Development, March 10 11, 2011 Bharati Vidyapeeth s Institute of Computer Applications and Management, New Delhi A Priority based Congestion Prevention Technique for Vehicular Ad-Hoc
More informationLecture 6: Vehicular Computing and Networking. Cristian Borcea Department of Computer Science NJIT
Lecture 6: Vehicular Computing and Networking Cristian Borcea Department of Computer Science NJIT GPS & navigation system On-Board Diagnostic (OBD) systems DVD player Satellite communication 2 Internet
More informationAnalysis of Routing Protocols over VANET
Analysis of Routing Protocols over VANET Ramadhan Mstafa 1, Abdalraouf Alarabe, Eman AbdelFattah Ammar Odeh, Muneer Alshowkan Abstract Vehicular Ad-hoc Network (VANET) is a new network technology where
More informationAnalysis of Broadcast Non-Saturation Throughput as a Performance Measure in VANETs
Analysis of Broadcast Non-Saturation Throughput as a Performance Measure in VANETs Gayathri Narayanan Department of Electronics and Communication Engineering Amrita School of Engineering, Amritapuri Campus,
More informationThe Research of Long-Chain Wireless Sensor Network Based on 6LoWPAN
2017 5th International Conference on Enterprise Systems The Research of Long-Chain Wireless Sensor Network Based on 6LoWPAN Weilan Lin linweilan@gz.sia.cn Shuangfei Zi zishuangfei@gz.sia.cn Zhiyi Fan Department
More informationMethods to Resolve Traffic Jams using VANET
Methods to Resolve Traffic Jams using VANET Rohit Kumar Department of Computer Sc. & Engineering Chandigarh University, Gharuan Mohali, Punjab Abstract VANET has been an important technology for managing
More informationA Beacon Rate Control Scheme Based on Fuzzy Logic for Vehicular Ad-hoc Networks
2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology A Beacon Rate Control Scheme Based on Fuzzy Logic for Vehicular Ad-hoc Networks Ning Wang 1,
More informationTCP and UDP Fairness in Vehicular Ad hoc Networks
TCP and UDP Fairness in Vehicular Ad hoc Networks Forouzan Pirmohammadi 1, Mahmood Fathy 2, Hossein Ghaffarian 3 1 Islamic Azad University, Science and Research Branch, Tehran, Iran 2,3 School of Computer
More informationCHAPTER 5 CONCLUSION AND SCOPE FOR FUTURE EXTENSIONS
130 CHAPTER 5 CONCLUSION AND SCOPE FOR FUTURE EXTENSIONS 5.1 INTRODUCTION The feasibility of direct and wireless multi-hop V2V communication based on WLAN technologies, and the importance of position based
More informationPoonam kori et al. / International Journal on Computer Science and Engineering (IJCSE)
An Effect of Route Caching Scheme in DSR for Vehicular Adhoc Networks Poonam kori, Dr. Sanjeev Sharma School Of Information Technology, RGPV BHOPAL, INDIA E-mail: Poonam.kori@gmail.com Abstract - Routing
More informationASurveyonTopologybasedReactiveRoutingProtocolsinVanets
Global Journal of Computer Science and Technology: E Network, Web & Security Volume 18 Issue 4 Version 1.0 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online
More informationEffect of Radio-Wave Propagation Model On Network Performance With AODV Routing Protocol For IL-VANET
International Archive of Applied Sciences and Technology Int. Arch. App. Sci. Technol; Vol 5 [2]June 2014: 13-18 2014 Society of Education, India [ISO9001: 2008 Certified Organization] www.soeagra.co/iaast.html
More informationA Low-Overhead Hybrid Routing Algorithm for ZigBee Networks. Zhi Ren, Lihua Tian, Jianling Cao, Jibi Li, Zilong Zhang
A Low-Overhead Hybrid Routing Algorithm for ZigBee Networks Zhi Ren, Lihua Tian, Jianling Cao, Jibi Li, Zilong Zhang Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts
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 informationSimulation and Analysis of AODV and DSDV Routing Protocols in Vehicular Adhoc Networks using Random Waypoint Mobility Model
Simulation and Analysis of AODV and DSDV Routing Protocols in Vehicular Adhoc Networks using Random Waypoint Mobility Model 1 R. Jeevitha, 2 M. Chandra Kumar 1 Research Scholar, Department of Computer
More informationData Aggregation and Roadside Unit Placement for a VANET Traffic Information System
Data Aggregation and Roadside Unit Placement for a VANET Traffic Information System Christian Lochert, Björn Scheuermann, Christian Wewetzer, Andreas Luebke, and Martin Mauve Heinrich Heine University
More informationWITH the continuous development of wireless communication
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 1 New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks Degan Zhang, Member, IEEE, HuiGe,Member, IEEE, Ting Zhang, Member, IEEE, Yu-Ya
More informationInvestigation on OLSR Routing Protocol Efficiency
Investigation on OLSR Routing Protocol Efficiency JIRI HOSEK 1, KAROL MOLNAR 2 Department of Telecommunications Faculty of Electrical Engineering and Communication, Brno University of Technology Purkynova
More informationSTRAW - An integrated mobility & traffic model for vehicular ad-hoc networks
STRAW - An integrated mobility & traffic model for vehicular ad-hoc networks David R. Choffnes & Fabián E. Bustamante Department of Computer Science, Northwestern University www.aqualab.cs.northwestern.edu
More informationMPBCA: Mobility Prediction Based Clustering Algorithm for MANET
MPBCA: Mobility Prediction Based Clustering Algorithm for MANET Rani.V.G Associate Professor Research and Development Center Bharathiar University Coimbatore, India ranikhans@gmail.com Dr.M.Punithavalli
More informationA Balancing Algorithm in Wireless Sensor Network Based on the Assistance of Approaching Nodes
Sensors & Transducers 2013 by IFSA http://www.sensorsportal.com A Balancing Algorithm in Wireless Sensor Network Based on the Assistance of Approaching Nodes 1,* Chengpei Tang, 1 Jiao Yin, 1 Yu Dong 1
More informationPerformance Evaluation of Active Route Time-Out parameter in Ad-hoc On Demand Distance Vector (AODV)
Performance Evaluation of Active Route Time-Out parameter in Ad-hoc On Demand Distance Vector (AODV) WADHAH AL-MANDHARI, KOICHI GYODA 2, NOBUO NAKAJIMA Department of Human Communications The University
More informationOn The Method and Performance Evaluation of A Hybrid Mesh-Tree Topology
Appl. Math. Inf. Sci. 6. 2S pp. 547S-551S (2012) Applied Mathematics & Information Sciences An International Journal @ 2012 NSP Natural Sciences Publishing Cor. On The Method and Performance Evaluation
More informationHeuristic Clustering Algorithms in Ad hoc Networks
Heuristic Clustering Algorithms in Ad hoc Networks Artvin Çoruh University e-mail: nevin.aydin@gmail.com Volume 3 No 3 (2014) ISSN 2158-8708 (online) DOI 10.5195/emaj.2014.39 http://emaj.pitt.edu Abstract
More informationEstimation of Network Partition Problem in Mobile Ad hoc Network
Estimation of Network Partition Problem in Mobile Ad hoc Network Varaprasad Golla B.M.S.College of Engineering Bangalore, India varaprasad555555@yahoo.co.in ABSTRACT: A node cannot communicate with others
More informationComparison of Three Greedy Routing Algorithms for Efficient Packet Forwarding in VANET
Comparison of Three Greedy Routing Algorithms for Efficient Packet Forwarding in VANET R. Nirmala 1, R. Sudha 2 Assistant Professor, Department of Computer Science, K.S.R College of Arts & Science (Autonomous),
More informationRESEARCH ON INTER-SATELLITE COMMUNICATION SYSTEM OF FRACTIONATED SPACECRAFT
RESEARCH ON INTER-SATELLITE COMMUNICATION SYSTEM OF FRACTIONATED SPACECRAFT Qing Chen (1), Jinxiu Zhang (2), Shengchang Lan (3) and Zhigang Zhang (4) (1)(2)(4) Research Center of Satellite Technology,
More informationLiterature Review on Characteristic Analysis of Efficient and Reliable Broadcast in Vehicular Networks
International Journal of Electronics and Communication Engineering. ISSN 0974-2166 Volume 6, Number 3 (2013), pp. 205-210 International Research Publication House http://www.irphouse.com Literature Review
More informationEnergy Consumption Analysis of modified AODV Routing protocol under Random Waypoint and Reference point Group Mobility Models
ICACSIS 2012 ISBN: 978-979-1421-15-7 Energy Consumption Analysis of modified AODV Routing protocol under Random Waypoint and Reference point Group Mobility Models Harris Simaremare*, Abdusy Syarif**, Abdelhafid
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 informationMobile Element Scheduling for Efficient Data Collection in Wireless Sensor Networks: A Survey
Journal of Computer Science 7 (1): 114-119, 2011 ISSN 1549-3636 2011 Science Publications Mobile Element Scheduling for Efficient Data Collection in Wireless Sensor Networks: A Survey K. Indra Gandhi and
More informationA Dynamic TDMA Protocol Utilizing Channel Sense
International Conference on Electromechanical Control Technology and Transportation (ICECTT 2015) A Dynamic TDMA Protocol Utilizing Channel Sense ZHOU De-min 1, a, LIU Yun-jiang 2,b and LI Man 3,c 1 2
More informationReliable Mobile Ad Hoc P2P Data Sharing
Reliable Mobile Ad Hoc P2P Data Sharing Mee Young Sung 1, Jong Hyuk Lee 1, Jong-Seung Park 1, Seung Sik Choi 1, and Sungtek Kahng 2 1 Department of Computer Science & Engineering, University of Incheon
More informationImproving Performance in Ad hoc Networks through Location based Multi Hop Forwarding
Improving Performance in Ad hoc Networks through Location based Multi Hop Forwarding v.vallinayagi research scholar, manonmanium university tirunelveli-11 Dr.G.M.Nasira Assistant professor dept of computer
More informationINTERNATIONAL JOURNAL OF SCIENTIFIC & ENGINEERING RESEARCH VOLUME 5, ISSUE 3, MARCH-2014 ISSN
657 Performance Evaluation of DDSR via NS- 3 Simulation using RSU s in Vehicular Network Abhay Deep Seth, Ankit Khare Abstract: - Mobile Ad hoc Networks (MANET) are wireless networks without an infrastructure,
More informationChapter 2 Trajectory and Floating-Car Data
Chapter 2 Trajectory and Floating-Car Data Measure what is measurable, and make measurable what is not so. Galileo Galilei Abstract Different aspects of traffic dynamics are captured by different measurement
More informationPerformance Analysis of AODV using HTTP traffic under Black Hole Attack in MANET
Performance Analysis of AODV using HTTP traffic under Black Hole Attack in MANET Ekta Barkhodia 1, Parulpreet Singh 2, Gurleen Kaur Walia 3 Lovely Professional University, Phagwara, India ektab0@gmail.com,
More informationEnergy-Efficient Security Threshold Determination Method for the Enhancement of Interleaved Hop-By-Hop Authentication
Vol. 9, No. 12, 218 Energy-Efficient Security Threshold Determination Method for the Enhancement of Interleaved Hop-By-Hop Authentication Ye Lim Kang 1, Tae Ho Cho *2 Department of Electrical and Computer
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 informationShort-Range Wireless Communications for Vehicular Ad hoc Networking
Proceedings of the National Conference On Undergraduate Research (NCUR) 2014 University of Kentucky, Lexington, KY April 3-5, 2014 Short-Range Wireless Communications for Vehicular Ad hoc Networking Joshua
More informationA TRIANGULAR MATRIX ROUTING TABLE REPRESENTATION FOR EFFICIENT ROUTING IN MANET
A TRIANGULAR MATRIX ROUTING TABLE REPRESENTATION FOR EFFICIENT ROUTING IN MANET 1 ABD AL-RAZAK TAREQ RAHEM, 2 MAHAMOD ISMAIL, 3 AWS SAAD 1 Department of Electrical, Electronics and Systems Engineering,
More informationImpact of Hello Interval on Performance of AODV Protocol
Impact of Hello Interval on Performance of AODV Nisha Bhanushali Priyanka Thakkar Prasanna Shete ABSTRACT The multi-hop ad hoc networks are self organizing networks with dynamic topology. The reactive
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 informationA STUDY ON CURRENT TRENDS IN VEHICULAR AD HOC NETWORKS
953 A STUDY ON CURRENT TRENDS IN VEHICULAR AD HOC NETWORKS K.Prasuna 1, Chilakalapudi Meher Babu 2,K.Ram Kumar 3 1 Asst.Professor, Vijaya Institute of Technology for Women, Enikepadu, INDIA. 2 Ph.D., Scholar,
More information15-441: Computer Networking. Lecture 24: Ad-Hoc Wireless Networks
15-441: Computer Networking Lecture 24: Ad-Hoc Wireless Networks Scenarios and Roadmap Point to point wireless networks (last lecture) Example: your laptop to CMU wireless Challenges: Poor and variable
More informationEfficient Clustering Routing Algorithm Based on Opportunistic Routing
Int. J. Communications, Network and System Sciences, 2016, 9, 198-208 Published Online May 2016 in SciRes. http://www.scirp.org/journal/ijcns http://dx.doi.org/10.4236/ijcns.2016.95019 Efficient Clustering
More informationEfficient Hybrid Multicast Routing Protocol for Ad-Hoc Wireless Networks
Efficient Hybrid Multicast Routing Protocol for Ad-Hoc Wireless Networks Jayanta Biswas and Mukti Barai and S. K. Nandy CAD Lab, Indian Institute of Science Bangalore, 56, India {jayanta@cadl, mbarai@cadl,
More informationEFFICIENT DATA TRANSMISSION AND SECURE COMMUNICATION IN VANETS USING NODE-PRIORITY AND CERTIFICATE REVOCATION MECHANISM
EFFICIENT DATA TRANSMISSION AND SECURE COMMUNICATION IN VANETS USING NODE-PRIORITY AND CERTIFICATE REVOCATION MECHANISM D.Yamini 1, J. Jayavel 2 1 III-M.tech(IT), Department of Information technology,
More informationThe Design of Supermarket Electronic Shopping Guide System Based on ZigBee Communication
The Design of Supermarket Electronic Shopping Guide System Based on ZigBee Communication Yujie Zhang, Liang Han, and Yuanyuan Zhang College of Electrical and Information Engineering, Shaanxi University
More informationAn Efficient Message Protocol Using Multichannel with Clustering
An Efficient Message Protocol Using Multichannel with Clustering Jaejeong Lee 1 and Byoungchul Ahn 2* Dept. of Computer Engineering, Yeungnam University, Gyeongsan, Korea. *Corresponding author: Byoungchul
More informationThe Challenges of Robust Inter-Vehicle Communications
The Challenges of Robust Inter-Vehicle Communications IEEE VTC2005-Fall Marc Torrent-Moreno, Moritz Killat and Hannes Hartenstein DSN Research Group Institute of Telematics University of Karlsruhe Marc
More informationSIMULATION BASED ANALYSIS OF THE INTERACTION OF END-TO-END AND HOP-BY-HOP FLOW CONTROL SCHEMES IN PACKET SWITCHING LANS
SIMULATION BASED ANALYSIS OF THE INTERACTION OF END-TO-END AND HOP-BY-HOP FLOW CONTROL SCHEMES IN PACKET SWITCHING LANS J Wechta, A Eberlein, F Halsall and M Spratt Abstract To meet the networking requirements
More informationA Data Classification Algorithm of Internet of Things Based on Neural Network
A Data Classification Algorithm of Internet of Things Based on Neural Network https://doi.org/10.3991/ijoe.v13i09.7587 Zhenjun Li Hunan Radio and TV University, Hunan, China 278060389@qq.com Abstract To
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 information