计算机应用研究2017，Vol.34Issue(11)：3412-3415,4.DOI:10.3969/j.issn.1001-3695.2017.11.047
基于改进布谷鸟算法的WSN节点定位算法
WSN node localization based on improved cuckoo search algorithm
摘要
Abstract
Efficient localization algorithm plays an important role in the application of wireless sensor network (WSN).During the process of estimating unknown node position,the accuracy of DV-Hop algorithm is not that perfect.In terms of the improvement of accuracy,this paper put forward a SACSDV-Hop algorithm.Firstly,it introduced the cuckoo search (CS) algorithm.Secondly,it dynamically adjusted the discovery probability Pα and the parameterβ impacted step size to improve the convergence speed and local search ability of CS algorithm.SACSDV-Hop algorithm used SACS algorithm instead of DV-Hop algorithm to estimate the coordinate position of the unknown node stage,which used the least square method.It transformed the node localization problem into intelligent optimization.Simulation results show that the SACSDV-Hop algorithm is better than the CSDV-Hop algorithm and DV-Hop algorithm,which has a higher positioning accuracy and does not need to increase the hardware cost.关键词
无线传感器网络/DV-Hop算法/SACS算法/最小二乘法/智能寻优Key words
wireless sensor network/DV-Hop algorithm/SACS algorithm/least square method/intelligent optimization分类
信息技术与安全科学引用本文复制引用
王玉芳,毛永毅..基于改进布谷鸟算法的WSN节点定位算法[J].计算机应用研究,2017,34(11):3412-3415,4.基金项目
陕西省自然科学基金资助项目(2014JM2-6088) （2014JM2-6088）
