传感技术学报2017，Vol.30Issue(9)：1405-1411,7.DOI:10.3969/j.issn.1004-1699.2017.09.018
基于弹簧粒子模型的大规模WSN 定位算法的衍生算法
Derivative Localization Algorithms Based on a Spring Particle Model( LASPM) for Large Scale Wireless Sensor Networks
摘要
Abstract
To improve the robustness of localization algorithm based on a spring particle model( LASPM) for large-scale wireless sensor networks,some derivative algorithms based on basic LASPM algorithm are proposed. A simpler iterative algorithm is proposed for weak particles. Three patches of the basic LASPM algorithm are proposed to avoid local optimization,kick out bad nodes and deal with node variation. Simulation results show that the computational and communication complexity are almost constant despite the increase of the scale of the network. The time con-sumption has also been proven to remain almost constant since the calculation steps unrelated to the scale of the net-work. The proposed localization algorithms are shown with sound robustness.关键词
定位算法/弹簧粒子模型/大规模无线传感器网络/衍生算法/复杂度Key words
localization algorithm/spring particle model/large scale wireless sensor networks/derivative algorithms/complexity分类
信息技术与安全科学引用本文复制引用
陈三风,韩鑫,湛邵斌,胡涛,卢鑫,陈万明..基于弹簧粒子模型的大规模WSN 定位算法的衍生算法[J].传感技术学报,2017,30(9):1405-1411,7.基金项目
广东省自然科学基金项目( 2015A030313587 （）
深圳市科技计划项目( JCY20160307100530069,GRCK20160415111850716) （ JCY20160307100530069,GRCK20160415111850716）
