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Analysis and Improvement for MDS Localization Algorithm

机译:MDS定位算法的分析与改进

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摘要

Wireless sensor networks(WSNs), which is utilized in a broad region, is able to monitor and collect various information of different objects, location plays a critical role in WSNs. Currently, many localization algorithms are proposed such as the classical MDS localization algorithm. It has a low accuracy in large scale of sensor network with a lot of nodes. For this defect, this paper proposes a improvement algorithm based on fuzzy-c means. The results of simulation show that the improvement algorithm has a higher accuracy than the classical MDS localization algorithm in large scale of sensor network.
机译:无线传感器网络(WSN)被广泛使用,能够监视和收集不同对象的各种信息,位置在WSN中起着至关重要的作用。当前,提出了许多定位算法,例如经典的MDS定位算法。它在具有大量节点的大规模传感器网络中具有较低的精度。针对该缺陷,提出了一种基于模糊c均值的改进算法。仿真结果表明,在大规模传感器网络中,改进算法比传统的MDS定位算法具有更高的精度。

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