基于改进RSSI测距的加权质心定位算法

Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC) Pub Date : 2013-12-01 DOI:10.1109/MEC.2013.6885124

Hongbo Fan, Guanglin He, Siqian Tao, Hongyu Xu

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引用次数: 10

摘要

针对无线传感器网络中节点定位精度低的问题，分析了质心定位算法，提出了一种基于改进RSSI测距的加权质心定位算法。该算法同时考虑信标节点之间的距离和RSSI，对信标节点之间的距离和信号强度信息进行校正，并选择距离的倒数作为算法的权重。仿真结果表明，与传统的质心定位算法相比，该算法具有更高的定位精度。

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Weighted centroid localization algorithm based on improved RSSI ranging

Toward the problem of low node localization accuracy in wireless sensor networks, this paper analyzes the centroid localization and proposes a weighted centroid localization algorithm based on improved RSSI ranging. This algorithm takes both the distance and RSSI between beacon nodes into consideration, corrects both the distance between beacon nodes and the signal strength information and selects the reciprocal of the distance as the weight of the algorithm. The simulation result shows, compared with the traditional centroid localization algorithm this algorithm has higher localization accuracy.

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来源期刊

Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)

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