A novel self-localization algorithm based on RSS for wireless sensor networks

Maocong Chen, Hua Tian, Lianguo Wu
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Abstract

Self-localization is one of the basic problems in wireless sensor networks. In this paper, we propose a new localization algorithm using received signal strength (RSS) with seven anchors in order to balance the complex technology for distance estimation and the accuracy of the localization. First, based entirely on comparison of received signal strength transmitted by mobile anchors, the static nodes can acquire their positions without estimating these distances directly from other nodes. Then the unknown nodes can estimate the path loss exponent nearby with the estimated positions. Finally, the more accurate positions are achieved through log-distance path loss model. This proposed algorithm decreases the complexity of the hardware equipment, and improves the accuracy of localization result.
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一种基于RSS的无线传感器网络自定位算法
自定位是无线传感器网络的基本问题之一。为了平衡复杂的距离估计技术和定位精度,本文提出了一种基于接收信号强度(RSS)的7锚点定位算法。首先,静态节点完全基于移动锚点传输的接收信号强度的比较,无需直接从其他节点估计这些距离,即可获得自己的位置。然后未知节点可以估计出估计位置附近的路径损失指数。最后,通过对数距离路径损失模型获得更精确的位置。该算法降低了硬件设备的复杂度,提高了定位结果的精度。
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