改进的GPSR模型及其仿真分析

Improved GPSR model and simulation analysis

为最大限度保证路由QoS需求,引入概率传输机制在前向区域内选择下一跳节点,对无线传感器网络GPSR算法进行改进,提出一种新的无线传感器路由算法IGPSR,与现有GPSR算法主要有两点不同:(1)根据邻居节点剩余能量对前向区域实行分区;(2)在选定的前向区域分区内采用概率传输机制来选择下一跳节点。仿真实验结果表明,IGPSR算法能有效均衡网络节点能量消耗和延长网络生命周期。

In order to ensure the QoS requirements in routing discovery as much as possible,this paper introduces a probability transmit mechanism to select the next hop node in the forward region.The traditional Geographic Perimeter Stateless Routing（GPSR） algorithms can be improved for WSN.This new algorithm is proposed and named Improved Geographic Perimeter Stateless Routing（IGPSR）.There are mainly two differences in the new IGPSR algorithms compared to the traditional GPSR algorithms：（1）IGPSR algorithms divide the forward region into different segments according to the residual energy of the neighboring node;（2）it adopts the probability transport mechanism to select the next hop node in the segment of the chosen forward region.The simulation results show that the IGPSR algorithms work more effectively than the traditional GPSR algorithms in balancing the energy consumption and prolonging the lifetime of the network.