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yobo体育app:进一步提高WSN定位性能的算法研究

发布时间:2019-09-19 

报告题目: 进一步提高WSN定位性能的算法研究 

报告人:朱亚萍博士

 

时间:2019.9.19(周四)下午2点 

地点:科学 309 会议室

联系人:王礼锋

 

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.

 

报告人简介:朱亚萍博士在东南大学移动通信国家重点实验室攻读博士期间主要从事无线网络中的定位技术、软件定义网络技术、异构网络融合技术以及机器学习等相关研究,参与担任课题(或子)负责人的多项国家科技重大专项及国家自然科学基金项目。美国佐治亚理工学院博士联合培养。已发表期刊/会议15篇,专利4篇。

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