Bhoi Sourav Kumar, Khilar Pabitra Mohan
Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, India.
Int Sch Res Notices. 2014 Oct 29;2014:653131. doi: 10.1155/2014/653131. eCollection 2014.
Selecting junctions intelligently for data transmission provides better intelligent transportation system (ITS) services. The main problem in vehicular communication is high disturbances of link connectivity due to mobility and less density of vehicles. If link conditions are predicted earlier, then there is a less chance of performance degradation. In this paper, an intelligent junction selection based routing protocol (IJS) is proposed to transmit the data in a quickest path, in which the vehicles are mostly connected and have less link connectivity problem. In this protocol, a helping vehicle is set at every junction to control the communication by predicting link failures or network gaps in a route. Helping vehicle at the junction produces a score for every neighboring junction to forward the data to the destination by considering the current traffic information and selects that junction which has minimum score. IJS protocol is implemented and compared with GyTAR, A-STAR, and GSR routing protocols. Simulation results show that IJS performs better in terms of average end-to-end delay, network gap encounter, and number of hops.
智能选择数据传输的节点可为智能交通系统（ITS）提供更好的服务。车辆通信中的主要问题是由于移动性和车辆密度较低导致链路连接的干扰较大。如果能提前预测链路状况，那么性能下降的可能性就较小。本文提出了一种基于智能节点选择的路由协议（IJS），以最快路径传输数据，其中车辆大多处于连接状态且链路连接问题较少。在该协议中，在每个节点设置一辆辅助车辆，通过预测路由中的链路故障或网络间隙来控制通信。节点处的辅助车辆根据当前交通信息为每个相邻节点生成一个分数，以便将数据转发到目的地，并选择分数最低的节点。实现了IJS协议并将其与GyTAR、A-STAR和GSR路由协议进行比较。仿真结果表明，IJS在平均端到端延迟、网络间隙遭遇次数和跳数方面表现更好。
