电子科技大学学报Issue(3)：357-362,6.DOI:10.3969/j.issn.1001-0548.2015.03.007
一种改进的无线传感器网络优化定位算法
An Improved Optimization Localization Algorithm in WSNs
摘要
Abstract
Node localization of wireless sensor networks (WSNs) is a key problem in the practical applications. To improve the localization accuracy and reduce the cost, an improved localization algorithm based on particle swarm optimization (PSO) is proposed. In the algorithm, the idea of proactive estimate is introduced to estimate the area of nodes, reduce and restrict the solution space, so as to quicken the search speed of particles, and then the idea of competition evolution and adaptive weighting are used to enhance the global and local search ability when accelerating convergence speed. Simulation results show that, compared with other similar methods, the proposed algorithm can make more effective use of anchor node information, reduce the cost of network, and increase positioning accuracy while significantly reducing the calculation amount. Moreover the algorithm shows robust for communication ranging error.关键词
竞争进化/定位/粒子群算法/前摄估计/无线传感器网络Key words
competition evolution/localization/particle swarm optimization/proactive estimation/wireless sensor networks分类
信息技术与安全科学引用本文复制引用
张亚明,史浩山,陈客松,程伟..一种改进的无线传感器网络优化定位算法[J].电子科技大学学报,2015,(3):357-362,6.基金项目
国家自然科学基金(U1233103,61401360,61301092) （U1233103,61401360,61301092）
