Co-SRL: A Convex Optimization Algorithm for Anchor Localization in Wireless Sensor Networks

Wu Liu , Donghong Sun , Ping Ren , Yihui Zhang
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引用次数: 1

Abstract

This paper proposed a Convex Optimization method which is called Co-SRL and is used to localize sensor location in Wireless Sensor Networks.Co-SRL can be used to help the node to localize a friendnode or mobile node using anchors. In Co-SRL, convex optimization algorithm is used forthe estimationof malicious nodeposition.Simulation result shows that Co-SRL is both secure and robust, in an environment without colluding, Co-SRLcan identify more than half of the malicious nodes; and in an environment with colluding, no more than 15% of malicious nodescan escape from the identification of our methods.

无线传感器网络中锚点定位的凸优化算法
本文提出了一种称为Co-SRL的凸优化方法,用于无线传感器网络中传感器的位置定位。Co-SRL可用于帮助节点使用锚定位好友节点或移动节点。在Co-SRL中,采用凸优化算法对恶意沉积进行估计。仿真结果表明,Co-SRL具有安全性和鲁棒性,在无串通的环境下,Co-SRL可以识别出一半以上的恶意节点;在串通的环境下,不超过15%的恶意节点能够逃脱我们方法的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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