基于双层多种群粒子群的WSN节点定位模型研究
Research of Node Localization Model in WSN based on Double Layer and Multi-population
在无线传感器网络的应用中，节点位置至关重要，如果无法获取位置信息，就无法对事件进行感知和监测，也就失去了实际应用价值。为了提高无线传感器网络节点定位精度，提出了基于双层多种群粒子群节点定位模型。该模型在粒子群优化算法的进化机制中加入了多种群和分层的思想进行节点位置估计。仿真结果表明，在不同的测距误差条件下，基于双层多种群粒子群节点定位方法与极大似然估计法和粒子群优化定位方法比较，可以显著提高定位精度。
In the applications of wireless sensor networks, position information of nodes is very important. Without it, events can not be sensed and measured, and value of application will be lost. To improve the location accuracy of nodes in wireless sensor networks, the paper puts forward research of node localization model in WSN based on double layer and multi-population. The results of the simulation show that the method can get higher localization accuracy than MLE and PSO in different ranging errors.
李冉、余镇危、陈高杰
无线通信
计算机网络无线传感器网络节点定位粒子群优化算法多种群分层
omputer NetworkWSN Node LocalizationMulti-PopulationHierarchical ThinkingPSO
李冉,余镇危,陈高杰.基于双层多种群粒子群的WSN节点定位模型研究[EB/OL].(2010-05-18)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201005-363.点此复制
评论