节点文献
基于聚类的无线传感器网络相对定位算法
Clustered-based Relative Localization Algorithm for Wireless Sensor Networks
【摘要】 提出一种基于聚类的无限传感器网络相对定位算法,包括3个步骤,即将网络分簇、各簇建立局部坐标系并计算簇内节点自身在局部坐标系内位置以及各局部坐标系合并成全局坐标系。仿真结果表明,与SDGPSN算法相比,该算法通信和时间开销更少,更适用于能量受限、规模大的无线传感器网络。
【Abstract】 This paper presents a Clustered-based Relative Localization Algorithm(CRL)for Wireless Sensor Networks(WSN). CRL has three phrases: the network is divided into clusters; each cluster builds Local Coordinate System(LCS) and each node computes its own position within corresponding LCS; every LCS incorporates into a global coordinate system. Experimental results show that compared to SDGPSN, the algorithm has less communication and time overhead and it is more suitable for energy-constrained and large-scale WSN.
【关键词】 无线传感器网络;
节点定位;
相对定位;
聚类;
【Key words】 Wireless Sensor Networks(WSN); node localization; relative localization; cluster;
【Key words】 Wireless Sensor Networks(WSN); node localization; relative localization; cluster;
【基金】 国家自然科学基金资助项目(60673111,60773037)
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2008年19期
- 【分类号】TP212.9;TN929.5
- 【被引频次】2
- 【下载频次】249