| Recently, with the development of intelligent transportation system, VANET has become the most popular field of network communication technology, which has broad prospects. VANET can effectively improve traffic conditions in the Security warning, Driving assistance, Cooperative driving, as well as provide LAN and Internet access. However, routing protocol is the most important component of VANET, which determines the overall performance of the network. The topology-based routing protocol is applied in VANET, but rapid topology changing and communication environment makes its performance very poor, compared with the topology-based routing, the position-based routing is more reliable and more scalable, more suitable for high speed movement scenario. But in VANET, especially in the urban environment, the network topology changes frequently, and vehicle’s distribution is uneven,which frequently leads to sparse connectivity and local maximum, so an robust, reliable, real-time routing protocol must be designed specifically for VANET.In this paper, MBRU is presented to solve the problems in existing routing protocols in urban environment, which uses the vehicle location and the traffic information provided by navigation electronic map for routing decisions. Moreover, the optimization of the regional search algorithm is proposed to reduce the search time complexity. Global information is used to calculate the optimal forward sections in order to avoid local maximum caused by sparse connectivity. The optimal forwarding algorithm combining prediction and roulette is proposed to overcome the unreliable wireless channel issues. When a packet cannot be successfully forwarded to the destination node, the local repair strategy based on the driver intention is proposed to improve packet delivery ratio.Finally, VANET movement model was generated by MOVE and simulations were conducted by NS2. The results show that MBRU provides higher packet delivery ratio and lower latency. Furthermore, MBRU is more suitable for larger data services and higher vehicle density in urban environment. |
PDF Full Text Request