Leveraging Compressive Sensing for Mobile Target Localization in Wireless Sensor Networks

摘要：

　　Many applications in wireless sensor networks (WSNs) depend heavily on the availability and accuracy of mobile target positions.According to existing approaches, it is necessary to collect,store and process a mass of data to achieve accurate localization.To address this problem, we develop a novel mobile target localization approach based on compressive sensing (CS) techniques.The intuition underlying our design is motivated by the observation that the speeds of mobile targets change slowly.We capture this observation to design a representation basis under which the signals can be sparsely represented.Furthermore, a sparse random measurement matrix is introduced that is feasible in practice.Extensive numerical evaluations with both synthetic and real mobility traces confirm the superior performance of our CS-based localization approach.

关键词： Wireless sensor networks Mobile target localization Compressive sensing

作者: Baoming Sun Yan Guo Ning Li

作者单位: College of Communications Engineering, PLA University of Science and Technology, China

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 709-714

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）