无线传感器网络中基于功率控制的蚁群路由算法

An Ant Colony Routing Algorithm Based on Power Control in Wireless Sensor Networks

为了进一步降低节点在发送分组时的能量消耗,论文在EEIABR的基础上,通过提取hello分组的RSSI值,推导出对邻节点的最优发射功率,提出一种基于功率控制的蚁群路由算法PCABR。该算法将最优发射功率存储在节点的邻居列表中,当节点概率选择下一跳节点时,会选择剩余能量较大,且发射功率较小的邻居节点,避免了功率的浪费。仿真表明,PCABR相较于EEIABR和EEABR算法的路径优化准确度更为明显,对能量使用效率和能量均衡性方面均有较大的提升。

In order to further reduce the energy consumption of nodes when sending packets,this paper derives the optimal transmit power of neighboring nodes by extracting the RSSI value of hello packets based on EEIABR,and proposes an ant colony route based on power control algorithm PCABR.The algorithm stores the optimal transmit power in the neighbor list of the node.When the node probability selects the next hop node,the neighbor node with larger residual energy and smaller transmit power is selected to avoid power waste.The simulation results show that the path optimization accuracy of PCABR is significantly improved compared with EEIABR and EEABR algorithms,and the energy efficiency and energy balance performance are greatly improved.