车辆社交网络中基于社会动态特征感知的地理路由

Qing Liao, Jingyi Zhang
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引用次数: 4

摘要

车载自组织网络具有延迟容忍网络和社交网络的特点。在此背景下,我们以容忍延迟网络的社会属性为出发点,研究了车辆的宏观动态特征、微观动态特征和动态接触特征。本文提出了一种基于社会动态特征感知的地理组播路由,解决了车载自组网中的消息传输问题。与现有的机动感知geo - cast算法不同,我们的算法不仅考虑了车辆机动与地理位置之间的关系,还考虑了车辆与目的地区域之间的接触特征。最后,通过大型车载自组织网络的真实移动数据模型仿真,证明了该算法在传输速率、网络开销和平均延迟方面优于现有的移动感知geo - cast算法。结果证明了算法的有效性,所提出的路由协议适用于大型城市车辆自组织网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geographic Routing Based on Social Dynamic Features Aware in Vehicle Social Network
Vehicular ad-hoc network has the characteristics of Delay Tolerant Network and social network. In this background, we take the social attributes of Delay Tolerant Network as starting point and study the macroscopic dynamic features, micro dynamic features and dynamic contact features of vehicles. In this paper, we proposed a geographic multicast routing based on social dynamic features aware which solves messages transmission problems in vehicular ad hoc network. Different from the existing mobility-aware geocast algorithm, our algorithm takes into account not only the relationships between vehicles mobility and geographical location, but also the contact features between vehicles and destination areas. Finally, it is proved that our algorithm is superior to the existing mobility-aware geocast algorithm in term of delivery rate, network overhead and average delay by the real mobile data model simulation in large vehicular ad-hoc network. The results prove the effectiveness of our algorithm, and the routing protocol we proposed is suited for large urban vehicular ad hoc networks.
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