无线传感器网络中基于聚类平均的定位算法

Localization algorithm based on clustering average in wireless sensor networks

为改善复杂环境下传感器网络基于RSSI定位算法精度,分析了复杂环境下影响定位精度的主要因素,提出了一种基于空域平均的思路,即对相似传播模式各节点RSSI值进行平均以减轻随机衰落的影响,并给出了具体算法描述。仿真结果表明,在复杂传播环境下,该算法具有定位精度高、抗干扰鲁棒性强,对锚点数量需求更少的性能优势。

To improve the RSSI-based localization algorithm accuracy of wireless sensor networks in complex environments,this paper analyzed the primary factors which affected localization accuracy in complex environments,proposed the idea based on space average,which was to mitigate the random fading influence on localization accuracy by using the average RSSI of nodes in similar propagation mode,also discussed the whole algorithm in detail.The simulation results prove this algorithm＇s performances of higher localization accuracy,better robust and less anchor node requirements in complex propagation environments.