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“学萃讲坛”第476期--Resilient Wireless Sensor Networks for Industrial Monitoring
作者:佚名 文章来源:科研院 点击数:1151 更新时间:2016/6/1 23:29:08        ★★★

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题目:Resilient Wireless Sensor Networks for Industrial Monitoring

时间:201662日下午1400

地点:61#3160

主办单位:科学技术研究院

承办单位:自动化学院

报告人简介:

Hossam Hassanein is a leading authority in the areas of broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. His record spans more than 500 publications in journals, conferences and book chapters, in addition to numerous keynotes and plenary talks in flagship venues. Dr. Hassanein has received several recognitions and best papers awards at top international conferences. He is also the founder and director of the Telecommunications Research Lab (TRL) at Queen's University School of Computing, with extensive international academic and industrial collaborations. He is a senior member of the IEEE, and is a former chair of the IEEE Communication Society Technical Committee on Ad hoc and Sensor Networks (TC AHSN). Dr. Hassanein is an IEEE Communications Society Distinguished Speaker (Distinguished Lecturer 2008-2010).

摘要:We present, Sprouts, a modern Wireless Sensor Networks (WSN) platform that utilizes unique service-oriented sensors with an energy-aware architecture. Serviceable sensors allow for the rapid conception of a wide spectrum of applications; efficiently shortening the time gap between design and deployment. The Sprouts platform is the result of an industry related research at Queen’s University, and has successfully attracted some of the biggest industrial companies in Canada including Oil & Gas mining, steel production, and Power Grid monitoring.

We also describe the deployment of the Sprouts platform to monitor the health conditions of the vibration screens and shovel teeth used by Syncrude in the oil sands of Canada. Previous to WSN, wired sensing solutions have been attempted for this project, but failed to sustain integrity in the harsh conditions imposed by the environment. A complete system was developed at Queen’s University Telecommunications Research Lab (TRL) and successfully realized on a miniature working lab model.

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