| 基于随机漂移粒子群算法的WSNs节点定位 |
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| 引用本文： | 赵吉,纪志成.基于随机漂移粒子群算法的WSNs节点定位[J].传感器与微系统,2014,33(10):141-143. |
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| 作者姓名： | 赵吉 纪志成 |
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| 作者单位： | 1. 江南大学电气自动化研究所,江苏无锡214122;无锡城市职业技术学院电子信息工程系,江苏无锡214000
2. 江南大学电气自动化研究所,江苏无锡,214122 |
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| 基金项目： | 国家自然科学基金资助项目，江苏省博士后基金资助项目，2012年江苏省高校青蓝工程资助项目，江苏省青蓝工程资助项目 |
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| 摘 要： | 提出了随机漂移粒子群优化（RDPSO）算法,并将该算法应用于接收信号强度指示（RSSI）定位算法中,以降低由RSSI测距产生的定位误差.在仿真实验中,分别比较了基于RDPSO和PSO的RSSI定位算法.实验结果表明：RDPSO算法是在优化性能上优于PSO算法,有效提高了节点定位精度,证明该方法收敛速度快,稳定性能好,精度高,适用于WSNs节点定位问题.
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| 关 键 词： | 随机漂移粒子群优化算法 定位 无线传感器网络 接收信号强度指示 |
WSNs node localization based on random drift particle swarm optimization algorithm |
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| ZHAO Ji,JI Zhi-cheng.WSNs node localization based on random drift particle swarm optimization algorithm[J].Transducer and Microsystem Technology,2014,33(10):141-143. |
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| Authors: | ZHAO Ji JI Zhi-cheng |
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| Affiliation: | ZHAO Ji, JI Zhi-cheng (1. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China; 2. Department of Electronic Information Engineering, Wuxi City College of Vocational Technology, Wuxi 214000, China) |
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| Abstract: | Random drift particle swarm optimization （RDPSO） algorithm is presented and applied to RSSI localization algorithm, in order to reduce positioning errors generated by RSSI ranging. In simulation experiments, RSSI localization algorithm based on RDPSO is compared with that based on particle swarm optimization（PSO）. Experimental results indicate that RDPSO algorithm is superior to PSO algorithm in optimizing performance ,which improves positioning precision of nodes, it is proved that the method has fast convergence speed, good stability and high precision, which is suitable for WSNs node localization problem. |
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| Keywords: | random drift particle swarm optimization(RDPSO) algorithm localization wireless sensor networks (WSNs) RSSI |
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