文献类型：期刊文献

英文题名：Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks

作者：Ji, Xiang[1,2];Yu, Huiqun[1];Fan, Guisheng[1];Sun, Huaiying[1];Chen, Liqiong[3]

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Shanghai Key Lab Comp Software Evaluating & Testi, Shanghai 201112, Peoples R China;[3]Shanghai Inst Technol, Dept Comp Sci & Informat Engn, Shanghai 201418, Peoples R China

年份：2018

卷号：2018

外文期刊名：MOBILE INFORMATION SYSTEMS

收录：;EI(收录号：20183405712642);WOS:【SCI-EXPANDED(收录号:WOS:000441614600001)】；

基金：This work was partially supported by the NSF of China under Grant nos. 61702334 and 61772200, Shanghai Pujiang Talent Program under Grant no. 17PJ1401900, Shanghai Municipal Natural Science Foundation under Grant nos. 17ZR1406900 and 17ZR1429700, Action Plan for Innovation on Science and Technology Projects of Shanghai under Grant no. 16511101000, Collaborative Innovation Foundation of Shanghai Institute of Technology under Grant no. XTCX2016-20, and Educational Research Fund of ECUST under Grant no. ZH1726108.

语种：英文

外文关键词：Data transfer - Scalability - Vehicles - Intelligent systems - Clustering algorithms - Routing protocols - Reliability

摘要：Vehicular ad hoc network (VANET) is an emerging technology for the future intelligent transportation systems (ITSs). The current researches are intensely focusing on the problems of routing protocol reliability and scalability across the urban VANETs. Vehicle clustering is testified to be a promising approach to improve routing reliability and scalability by grouping vehicles together to serve as the foundation for ITS applications. However, some prominent characteristics, like high mobility and uneven spatial distribution of vehicles, may affect the clustering performance. Therefore, how to establish and maintain stable clusters has become a challenging problem in VANETs. 'Ibis paper proposes a link reliability-based clustering algorithm (LRCA) to provide efficient and reliable data transmission in VANETs. Before clustering, a novel link lifetime-based (LLT-based) neighbor sampling strategy is put forward to filter out the redundant unstable neighbors. The proposed clustering scheme mainly composes of three parts: cluster head selection, cluster formation, and cluster maintenance. Furthermore, we propose a routing protocol of LRCA to serve the infotainment applications in VANET. To make routing decisions appropriate, we nominate special nodes at intersections to evaluate the network condition by assigning weights to the road segments. Routes with the lowest weights are then selected as the optimal data forwarding paths. We evaluate clustering stability and routing performance of the proposed approach by comparing with some existing schemes. The extensive simulation results show that our approach outperforms in both cluster stability and data transmission.