基于能量路径自学习的传感网络优化覆盖算法

Optimizing Coverage Algorithm Based on the Energy Path Self-study of the Sensor Network

无线传感网络通信过程中,节点分布密度不均匀,造成通信过程中,节点选择自学习过程很难充分考虑约束性因素,计算结果精确度不高。本文提出一种基于剩余能量和最优路径的改进无线传感网络节点覆盖算法。通过在传统的节点自学习过程中,加入节点剩余能量和路径信息的模糊混合因素,融合两者的最优化特征,利用寻优计算原理,得到最佳的自学习结果,保证节点选择的最优化。实验仿真结果证明,经过算法优化后,无线传感网络的通信能力比传统的方法有了明显提高。

The fact that nodes distribute unevenly in the wireless sensor network make the accuracy of calculation results are not high during the process of node’s self-study.An algorithm about node’s coverage which is based on surplus energy and optimal path is presented in the article.As a result we can get optimal self-study results and nodes choice by considering fuzzy mixed factors such as surplus energy and path information and by fusing their optimal characters and by making use of optimal calculation principle in process of the traditional node’s self-study.Simulation results show that wireless sensor network can communication more effectively than the traditional method by the optimal algorithm presented in the article.