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Localization for Wireless Sensor Networks
文章来源: 发布时间:2014-06-16 【字号:

题 目 Localization for Wireless Sensor Networks

报告人 何田教授,美国明尼苏达大学

摘 要

    Wireless Sensor Network (WSN) systems have been used in many promising applications including military surveillance, habitat monitoring and wildlife tracking. While many middleware services to support these applications have been designed and implemented successfully, node localization - finding the position of a sensor node -remains one of the most difficult and important research challenges to be solved in practical settings. In this talk, we explain first why the existing range-based and range-free localization methods are inadequate to meet low-cost and high accuracy requirement simultaneously. To address this limitation, we present several localization techniques which achieves high accuracy with low cost. The limitations and advantages of these new technologies shall be discussed during the talk.

报告人简介

    Dr. Tian He is currently an associate professor in the Department of Computer Science and Engineering at the University of Minnesota-Twin City. He received the Ph.D. degree under Professor John A. Stankovic from the University of Virginia, Virginia in 2004. Dr. He is the author and co-author of over 100 papers in premier sensor network journals and conferences with over 9000 citations. His publications have been selected as graduate-level course materials by over 50 universities in the United States and other countries. Dr. He has received a number of research awards in the area of sensor networking, including five best paper awards. Dr. He is also the recipient of the NSF CAREER Award 2009 and McKnight Land-Grant Professorship. Dr. He served a few program chair positions in international conferences and on many program committees, and also currently serves as an editorial board member for four international journals including ACM Transactions on Sensor Networks. His research includes wireless sensor networks, intelligent transportation systems, real-time embedded systems and distributed systems, supported by National Science Foundation, IBM, Microsoft and other agencies.

时 间 2012年8月13日(周一),10:30 – 11:30

地 点 中国科学院信息工程研究所3号楼(B2座)3221室

 
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