基于RSSI的无线传感器网络节点定位算法研究 RSSI Based Node Localization Algorithm for Wireless Sensor Networks

付墨轩, 廖强
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Abstract

无线传感器网络是由大量具备感知、数据处理、存储和无线通信能力的传感器节点通过自组织方式形成的网络。针对无线传感器网络节点定位问题,以RSSI测距为基础,提出了一种最小二乘估计的节点定位算法。该算法不需要额外的硬件设备,能有效减小系统体积,降低节点能耗,而且能同时估计未知节点的位置和信道衰减因子,提高了环境适应性。 Wireless sensor networks are formed via self-organization by a large number of sensor nodes with sensing, data processing and store, wireless communication, which have become a vibrant and exciting research and development field. Based on the received signal strength indication (RSSI), a least squares localization algorithm is presented, which does not need the additional hardware equipments. Consequently, sensor nodes can be compact and energy cost will be reduced. The simulation results show that the algorithm can estimate the unknown nodes location and pathloss exponent simultaneously, and adapt to the variational environment.
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基于RSSI的无线传感器网络节点定位算法研究 RSSI Based Node Localization Algorithm for Wireless Sensor Networks
无线传感器网络是由大量具备感知、数据处理、存储和无线通信能力的传感器节点通过自组织方式形成的网络。针对无线传感器网络节点定位问题,以RSSI测距为基础,提出了一种最小二乘估计的节点定位算法。该算法不需要额外的硬件设备,能有效减小系统体积,降低节点能耗,而且能同时估计未知节点的位置和信道衰减因子,提高了环境适应性。 Wireless sensor networks are formed via self-organization by a large number of sensor nodes with sensing, data processing and store, wireless communication, which have become a vibrant and exciting research and development field. Based on the received signal strength indication (RSSI), a least squares localization algorithm is presented, which does not need the additional hardware equipments. Consequently, sensor nodes can be compact and energy cost will be reduced. The simulation results show that the algorithm can estimate the unknown nodes location and pathloss exponent simultaneously, and adapt to the variational environment.
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