基于移动节点的无线传感器网络部署优化方法  

Mobile Node-based Wireless Sensor Network Development Optimization Method

作　　者：李孟[1] 鲁庆宾[1] LI Meng;LU Qingbin(Nanyang Insititute of Technology,Nanyang 47300)

机构地区：[1]南阳理工学院,南阳473000

出　　处：《舰船电子工程》2018年第11期98-101,共4页Ship Electronic Engineering

基　　金：国家自然科学基金(编号:61371058);河南省科技厅科技攻关项目"基于激光字混合干涉效应的多参数纳米级传感测试理论与应用研究"(编号:1421002210552);河南省高等学校重点科研项目计划"基于MIMO-BICM的迭代译码算法研究"(编号:16A510007)资助

摘　　要：针对基于测向交叉算法的无线传感器网络定位系统中源于待测目标与节点空间布局的相对关系对定位结果造成的影响,论文提出一种基于移动节点的优化部署方法。在定位系统的定位误差过大的情况下,以提升系统的目标初始探测点处的定位性能,将待测目标的定位均方根误差为优化目标,采用遗传算法对移动节点的位置进行调整,从而达到降低系统误差的目的。为了保证无线传感器网络的实时性和高精度,将参与定位的所有节点同时调整最大移动距离的值最小,使系统能够最快完成优化部署。仿真结果证明,该方法能够有效提高无线传感器网络中定位系统的定位精度。For improve the influence of the relative relationship between the target＇s distribution and the deployment of sensors in the wireless sensor network localization system based on bearing-crossing algorithm, this paper proposes an optimized deploy- ment method based on mobile sensors. In order to improve the location performance at the initial detection point of the system＇s tar- get when the localization system error is large, the RMS of the target to be measured is the optimization goal and the deployment of the mobile sensor is implemented using a genetic algorithm to reduce the system errors. Besides, to ensure the real-time and high precision of the wireless sensor network, the mobile sensors adjust to the minimum value of the maximum movement distance. The simulation results show that this method can effectively improve the localization accuracy in wireless sensor networks.

关 键 词：移动节点 无线传感器网络 部署优化 遗传算法 

分 类 号：TP212.6[自动化与计算机技术—检测技术与自动化装置]