Joint Node Localization and Error Correction inWireless Sensor Networks

摘要：

In the node localization problem of wireless sensor networks (WSNs), distance measurements are often corrupted by large errors which will lead to inaccurate position estimates without correction. To address this issue, we propose a scheme of joint node localization and error correction from distance measurements of WSNs. The enabling fact is that only a small number of distance measurements are subject to large errors in general. Such sparsity motivates us to propose an e1 regularized nonlinear least squares model, where the e1 regularization term promotes the sparsity of large errors and the nonlinear least squares term reflects the fidelity of distance measurements. This nonconvex model is further relaxed to a second-order cone programming (SOCP) problem, which is convex and tractable. Extensive simulations demonstrate the effectiveness of the proposed approach.

关键词： wireless sensor networks (WSNs) node localization error correction second-order cone programming (SOCP)

作者: Jun Luo Chun Shi Wei Shi Qing Ling

作者单位: Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230027

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 6600-6604

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）