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Localization Algorithm Based on Sector Scan for Mobile Wireless Sensor Networks

机译:基于扇区扫描的移动无线传感器网络定位算法

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Localization is crucial to many applications in wireless sensor networks (WSN). In some applications, all nodes are constantly moving in the network. The current algorithms do not be good for address the problem of enabling nodes in mobile wireless sensor networks (MWSN) to determine their localization. To solve this problem, a new range-free localization algorithm based on the idea of sector scan for MWSN is proposed. By using sector scan and RSSI, this algorithm minimizes the overlapping areas determining the localization of the unknown nodes. To do so, the localization accuracy can be improved. The simulation shows that SSRML algorithm can obviously improve the localization accuracy compared to Convex and MCL, and the error of the SSRML is lower than 10%.
机译:本地化对于无线传感器网络(WSN)中的许多应用至关重要。在某些应用中,所有节点都在网络中不断移动。当前的算法不利于解决使移动无线传感器网络(MWSN)中的节点能够确定其定位的问题。为解决这一问题,提出了一种基于扇区扫描思想的MWSN的无范围定位新算法。通过使用扇区扫描和RSSI,此算法将确定未知节点定位的重叠区域最小化。为此,可以提高定位精度。仿真结果表明,与Convex和MCL相比,SSRML算法可以显着提高定位精度,且SSRML的误差小于10%。

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