| WSNs中基于粒子群优化的节点定位算法 |
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| 引用本文： | 孙懋珩,廖根健. WSNs中基于粒子群优化的节点定位算法[J]. 测控技术, 2011, 30(12): 111-115 |
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| 作者姓名： | 孙懋珩 廖根健 |
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| 作者单位： | 同济大学电子与信息工程学院,上海,201804 |
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| 摘 要： | 节点定位是无线传感器网络(WSNs)的关键技术之一.接收信号强度指示(RSSI)测距技术以其不需增加任何额外的硬件设备的特点在节点定位中得到广泛应用.为了提高定位精度,在RSSI测距的基础上,提出将粒子群优化算法( PSO)引入节点定位中.首先由RSSI测得未知节点与锚节点的距离,然后应用PSO算法计算出未知节点的估计...
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| 关 键 词： | 无线传感器网络 节点定位 RSSI 粒子群优化算法 锚节点 |
PSO-Based Node Localization Algorithm in WSNs |
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| SUN Mao-heng,LIAO Gen-jian. PSO-Based Node Localization Algorithm in WSNs[J]. Measurement & Control Technology, 2011, 30(12): 111-115 |
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| Authors: | SUN Mao-heng LIAO Gen-jian |
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| Affiliation: | SUN Mao-heng,LIAO Gen-jian(College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China) |
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| Abstract: | The node localization technology of wireless sensor networks(WSNs) is one of key issues.Received signal strength indicator (RSSI) technology is used widely in node localization,because it is not necessary to add any other equipments.In order to improve the positioning accuracy,a node localization algorithm based on particle swarm optimization (PSO) algorithm is proposed.Firstly,the algorithm measures the distance between the unknown node and neighboring anchor nodes using RSSI,and then uses PSO algorithm to localize the unknown node and gets the coordinates.Compared with genetic algorithm based localization and simulated annealing based localization,the simulation results show the proposed algorithm can effectively suppress the impact of ranging error accumulation,and improve the localization accuracy. |
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| Keywords: | wireless sensor networks node localization RSSI PSO anchor node |
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