【摘要】 为提高GPSR-R路由协议建立的链路的稳定性,提出一种结合节点关联强度预测和GPSR-R的混合路由协议。在基于GPSR-R路由协议发现路由的过程中,定期采用遗传算法学习和预测节点之间的关联强度。在选择中继节点时,除要满足GPSR-R路由协议的相关准则要求外,增加节点关联准则,选择具有关联的邻居节点作为下一跳的中继节点,增强链路的稳定性。仿真结果表明,针对不同的车辆移动速度和数据传输距离条件,该混合路由协议的数据包传递率和丢包率指标优于GPSR和GPSR-R两种路由协议。更多还原

【Abstract】 To improve the stability of the link established using GPSR-R routing protocol,a hybrid routing protocol combined with node correlation strength prediction and GPSR-R was proposed.In the process of finding routing based on GPSR-R routing protocol,the genetic algorithm was used to study and predict the correlation strength between nodes.In the case of selecting a relay node,in addition to meeting the relevant criterion requirements of the GPSR-R routing protocol,the node association criterion was added and the relay node with the associated neighbor node as the next hop was selected to enhance the stability of the link.The simulation results show that the packet transmission rate and packet loss rate of the hybrid routing protocol are better than that of GPSR and GPSR-R routing protocols for different vehicle moving speeds and data transmission distances.更多还原