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关于第三期举办信通与控制前沿技术系列讲座之Cheng Li教授线上学术交流会的通知

发布日期 :2022-07-29作者 :点击 :

一、主讲题目

Energy-Efficient Coordination Schemes for Underwater Acoustic Networks

二、报告摘要:

Underwater acoustic networks have attracted much research interest in recent years due to the wide range of their potential applications, such as environmental monitoring, natural resources development, and geological oceanography. While much research effort has been devoted to the improvement of acoustic signal reception and processing, the increase of throughput, and the reduction of packet delay, few studies focus on reducing and balancing energy consumption among sensor nodes in long-term marine monitoring applications.

In this work, through a comprehensive understanding of the underwater acoustic channels, a series of solutions have been proposed to achieve energy-efficient data transmission in underwater networks by considering both battery energies of sensor nodes and network connectivity. The talk begins with the investigation of different approaches to modelling the underwater acoustic channels to obtain a comprehensive understanding of the underwater acoustic communication environment. An asynchronous wake-up scheme based on combinatorial designs to minimize the working duty cycle of sensor nodes is proposed for underwater networks in long-term marine monitoring applications. Network connectivity can be maintained using such a design, even with a reduced duty cycle. Performance evaluation show that the proposed asynchronous wake-up scheme can effectively reduce the energy consumption for idle listening and can outperform other cyclic difference set (CDS)-based wake-up schemes.

The deployment strategy of underwater networks to balance the network robustness and the energy consumption of sensor nodes is also studied. The relay node selection scheme is evaluated in terms of network sizes and using different initial battery energy to balance the network lifetime. The results show that the proposed relay node selection scheme can effectively balance and prolong the network lifetime and its performance is closer to the optimal theoretical value obtained by solving the linear programming problem.

Finally, an effective coordination scheme for data collection is studied when an autonomous underwater vehicle (AUV) is used as a mobile data sink in underwater networks. The effectiveness of the proposed scheme is studied when time synchronization does not exist between the AUV and the sensor nodes. Transmitting power control is jointly considered to further reduce energy consumption. It has been shown that proper power control mechanism can lead to lower energy consumption than without power control during underwater communication.


三、主讲人Cheng Li

Cheng Li received his B. Eng. and M. Eng. degrees from Harbin Institute of Technology, Harbin, P. R. China, in 1992 and 1995, respectively, and his Ph.D. degree in Electrical and Computer Engineering from Memorial University, St. John's, Canada, in 2004.

He is currently a Full Professor and Head of the Department of Electrical and Computer Engineering of Memorial University, St. John's, Canada. His research interests include wireless communications and networking, communications signal processing, and mobile computing and computer networks. He has contributed 4 book chapters and over 350 research articles. He is an IEEE Communications Society Distinguished Lecturer for the 2021-22 term. He is an associate editor of the IEEE Transactions on Communications, the IEEE Internet-of-Things Journal, and the IEEE Network Magazine. He has served as the General Co-Chair of the ICNC'23, Q2SWinet’20, WINCOM'19, and AICON'19, and the TPC Co-Chair for the ICNC'20, ADHOCNETS’19, ACOSIS’19, WiCON’17, MSWiM'14, WiMob'11 and QBSC'10. He also served many times as a Technical Program Co-Chair for various technical symposia/tracks of international conferences, including the IEEE GLOBECOM, ICC, WCNC, and VTC. He served as the Chair of the IEEE Communications Society Ad Hoc and Sensor Networks Technical Committee (2018-19) and the Chair of the IEEE Newfoundland and Labrador Section (2012-13).

Dr. Li is the recipient of the Dean’s Award for Research Excellence at Memorial University in 2021, the recipient of the Technical Achievement Award of the IEEE Communications Society Communications Software Technical Committee in 2018, and the recipient of several Best Paper Awards at international conferences, including the IEEE Globecom'2017 and ICC'2010. He is a registered Professional Engineer (P.Eng.) in Canada and is a Senior Member of the IEEE and a member of the IEEE Communication Society, Computer Society, Vehicular Technology Society, and Ocean Engineering Society.

四、时间:

    202282 9:00-10:30

五、会议入口

    #腾讯会议:802-107-239

    会议密码:83066

    会议通过腾讯会议线上平台进行,欢迎广大教师参与本次学术交流会。


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