受公司魏晓辉教授邀请，美国Temple University吴杰教授将于7月15日到必威官方登录首页访问并为全院师生做学术报告。
吴杰教授是美国Temple University计算机与信息科学系主任，教授，IEEE 院士。吴杰教授是计算机科学与技术领域的国际知名学者，2011年获得中国计算机学会海外杰出贡献奖。在加入Temple University之前，吴教授曾担任过Florida Atlantic University教授，美国NSF的项目主任，IEEE分布式处理技术工作委员会主席。主要研究领域包括无线网络和移动计算、路由协议、云计算、容错计算以及互联网络。吴教授在各种期刊和杂志上发表了500余篇文章，担任过DCOSS 2009，IEEE IPDPS 2008，IEEE MASS 2006等多个国际会议联合主席，INFOCOM 2011，ICDCS 2008程序委员会主席，以及IEEE Transactions on Computers，IEEE Transactions on Mobile Computing，Journal of Parallel and Distributed Computing等顶级国际期刊编委。
吴杰教授来访正值公司暑假期间，希望各位老师和同学能够合理安排时间，积极参加本次活动。
吴杰教授学术报告具体信息如下：
讲座时间：2014年7月16日上午9:30-11:30
讲座题目：Collaborative Mobile Charging and Coverage in Wireless Sensor Networks
主讲人：Prof. Jie Wu, Department of Computer and Information Sciences, Temple University
讲座摘要：
The limited battery capacity of sensor nodes has become the biggest impediment to wireless sensor network (WSN) applications over the years. Recent breakthroughs in wireless energy transfer, based on rechargeable lithium batteries, provide a promising application of mobile vehicles. These mobile vehicles act as mobile chargers to transfer energy wirelessly to static sensors in an efficient way. In this talk, we discuss some of our recent results on several charging and coverage problems involving multiple mobile chargers. In collaborative mobile charging, a fixed charging location, called a base station (BS), provides a source of energy to mobile chargers, which in turn are allowed to recharge each other while collaboratively charging static sensors. The objective is to ensure sensor coverage while maximizing the ratio of the amount of payload energy (used to charge sensors) to overhead energy (used to move mobile chargers from one location to another). This is done such that none of the sensors will run out of batteries. Here, sensor coverage spans both dimensions of time and space. We first consider the uniform case, where all sensors consume energy at the same rate, and propose an optimal scheduling scheme that can cover a one-dimensional (1-D) WSN with infinite length. Then, we present several greedy scheduling solutions to 1-D WSNs with non-uniform sensors and 2-D WSNs, both of which are NP-hard. Finally, we study another variation, in which all mobile chargers have batteries of unlimited capacity without resorting to a BS for recharging. The objective is then to deploy and schedule a minimum number of mobile chargers that can cover all sensors. Again, we provide an optimal solution to this problem in a 1-D WSN with uniform sensors and several greedy solutions with competitive approximation ratios to the problem setting of 1-D WSNs with non-uniform sensors and 2-D WSNs, respectively.
主讲人简介：
Jie Wu is chair and Laura H. Carnell professor in the Department of Computer and Information Sciences at Temple University. He is also an Intellectual Ventures endowed visiting chair professor at the National Laboratory for Information Science and Technology, Tsinghua University. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications. Dr. Wu regularly publishes in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Service Computing and the Journal of Parallel and Distributed Computing. Dr. Wu was general co-chair/chair for IEEE MASS 2006, IEEE IPDPS 2008, and IEEE ICDCS 2013, as well as program co-chair for IEEE INFOCOM 2011 and CCF CNCC 2013. Currently, he is serving as general chair for ACM MobiHoc 2014. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a CCF Distinguished Speaker and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award.
