无线传感网随机空置和链路能量联合优化路由  

Wireless sensor network route based on random vacancy and link energy joint optimization

作　　者：杨东芳 李娜 

机构地区：[1]黄河交通学院信息工程系,河南焦作454950 [2]黄河交通学院机电工程学院,河南焦作454950

出　　处：《计算机工程与设计》2017年第6期1464-1467,1563,共5页Computer Engineering and Design

基　　金：河南省科技攻关重点计划基金项目(112102210500;122102210563;132102210215);河南省高等学校重点科研项目计划基金项目(15B520008)

摘　　要：针对无线传感器网络随机覆盖存在覆盖空洞大、节点链路能量负载不均衡问题,提出无线传感网随机空置和链路能量联合优化路由算法。通过建立移动传感器节点随机覆盖的布尔模型,分析覆盖空置面积,提出预期的最小空置面积。采用一种基于链路能量级别的规划函数,通过节点能量负载及链路误包率的联合优化,选择最佳的节点链路。实验结果表明,该算法相比基于QoS感知聚类的、基于信任级别蚁群优化的以及基于细胞遗传算法优化的无线传感器网络,在提高能量效率、减少传输延迟上表现出了更好的效果。For the problem of the large coverage hole and node-link energy load imbalance on random coverage of wireless sensor networks,a wireless sensor network route algorithm based on random vacancy and link energy joint optimization was proposed.The coverage of the vacant space was analyzed by building the Boolean model in which mobile sensor nodes randomly covered,and an expected minimum vacant space was proposed.A link based on the energy level of the planning function was used,to select the best node links through joint optimization of energy load and packet error rate link nodes.Simulation results show that compared with QoS-aware clustering based wireless sensor networks,the trust level ant colony optimization for wireless sensor networks and cell-based genetic algorithms for optimizing wireless sensor networks,the algorithm performs better in terms of improving energy efficiency and reducing transmission delay.

关 键 词：无线传感器网络 链路能量级别 布尔模型 最小空置面积 规划函数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]