An Adaptive Clustering Scheme for VANETs

• Main Authors: Weng. Hao-Chun, 翁浩鈞
• Other Authors: Lin, Yen-Wen
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/81749612605219983718

碩士 === 國立臺中教育大學 === 資訊科學系 === 100 === The applications of vehicular ad hoc network (VANET) get more and more popular. Especially, efficient Internet access in VANETs becomes essential. The scalability of VANET significantly impacts the system performance. To remedy this problem, an adaptive clustering scheme is proposed for VANETs in this thesis. Assisted by specific powerful cloud servers, the aspects of the proposed scheme including cluster formation, cluster member management, cluster merging and splitting, are addressed. The clustering scheme proposed in this thesis is capable of adapting to different networking conditions. That is, in the proposed scheme, the hierarchy of the clusters and the transmission range are dynamically adjusted according to different vehicle velocity and traffic load. Simulation results show that the proposed scheme is able to settle the scalability of system and presents improved packet delivery rate, end to end delay, and signaling overhead in VANETs.