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349-Multi-Beam UAV Networks: From Theory to Practice
  发表时间:2018-05-18    阅读次数:

349嘉宾照片

主讲人:Dr. Fei Hu

邀请人:欧冬秀 教授

时间:2018年05月22日(周二)14:00—16:00

地点:交通运输工程学院103会议室

主讲人简介

      Dr. Fei Hu is currently a professor in the Department of Electrical and Computer Engineering at the University of Alabama (main campus), Tuscaloosa, Alabama, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in the field of Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers, books, and book chapters. Dr. Hu's research has been supported by U.S. National Science Foundation (NSF), U.S. Department of Defense (DoD), Cisco, Sprint, and other sources. He has chaired a few international conferences. His research interests are 3S - Security, Signals, Sensors.

主讲内容简介

      Multi-Beam Smart Antennas (MBSAs) achieve concurrent communications in multiple beams, thereby providing higher throughput compared to regular directional antennas. In this talk, we will cover both multi-beam-based transport layer and routing layer design issues in UAV networks. To adapt to the features of the MBSA-based networks, this paper proposes a balanced transport control strategy between the above two categories, which is based on the idea of Adaptive Batch Coding (ABC). The proposed ABC scheme resists random loss through redundant coding and copes with congestion via window shrink and retransmission. Using a cross-layer design (between transport and routing layer), both the coding scheme and the traffic allocation are adaptively adjusted according to network conditions. Particularly we use male moth’s light source pursuing pattern to handle the low-level network routing from an event node to the highly mobile ’sink’ node and use the ant’s chemical trail maintenance principle to trace the trajectory of commander node in order to deliver low-level data to the high-level commander node (in high-level network) with the minimized delay. Additionally, we propose to construct a weighted fence routing topology among high-level nodes with multi-beam antennas, to achieve a high-throughput routing in high-level network.

 

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