地点：科学楼 309 会议室
报告摘要：In recent years, with the rapid development of micro-electro mechanical systems (MEMSs) sensors and automation control technology, the application of wireless sensor networks (WSNs) has attracted more and more attention. At the same time, the rise of the Internet of Things (IoT) concept has also prompted researchers in industrial, agricultural, commercial and military fields to pay more and more attention to the application of WSN. WSN is a self-organizing network composed of a large number of sensor nodes with sensing, computing and communication capabilities, which can be applied to target tracking, environmental monitoring and other related fields, such as military reconnaissance, agricultural environmental monitoring, traffic condition detection and so on. In these applications, the spatial location information of sensor nodes in the network plays a vital role. Without these location information, the acquisition of related data will become inaccurate or even meaningless. Only by combining the location information of WSN sensor nodes, can we better realize various practical personalized functions in WSN applications. Therefore, it is of great practical significance to study WSN localization algorithm. This report aims at overcoming several key problems in WSN localization, including reducing algorithm complexity and network power consumption, identifying and mitigating NLOS errors and enhancing positioning system robustness, and proposes some corresponding algorithms in order to further improve the performance of WSN localization algorithm.