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学术报告:On Efficient Data Collection Using Autonomous Underwater Vehicles | ||
发布时间: 2018-05-28 浏览次数: 24 | ||
报告题目:On Efficient Data Collection Using Autonomous Underwater Vehicles 报告人:Professor Jie Wu (IEEE Fellow), enter for Networked Computing, Temple University 时间:2018年5月30日 15:30 地点:江宁校区博学楼A412(商学院辅楼) 摘要: This talk starts with a vision for a futuristic multi-tiered network that spans network tiers in the air, on the ground, and under the sea. We then focus on efficient data collection in the deep sea that poses some unique challenges due to the need for timely data reporting and the delay of acoustic transmission in the ocean. Autonomous underwater vehicles (AUVs) are deployed in the deep sea to surface frequently to transmit collected data from sensors (in a 2D or 3D search space) to the surface stations. However, resurfacing incurs additional delay. Our objective is to minimize the average data reporting delay, through optimizing the number and locations of AUV resurfacing events. We study trajectory planning of AUVs using an extended Euler circuit, where the search space is a set of segments (e.g., oil pipes) in the deep sea. To further reduce data reporting delay, we also explore schemes that schedule multiple AUVs cooperatively. Experiments in both the synthetic and real traces are used to validate the efficiency of the proposed solutions. 报告人简介: Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He also serves as the Director of International Affairs at College of Science and Technology. He served as Chair of Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. 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 net- works, 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 for IEEE MASS 2006, IEEE IPDPS 2008, IEEE ICDCS 2013, ACM MobiHoc 2014, ICPP 2016, and IEEE CNS 2016, as well as program co-chair for IEEE INFOCOM 2011 and CCF CNCC 2013. 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. |