报告简介:
Communicating nodes in wireless networks, such as ad-hoc/sensor networks or cellular systems, typically are randomly distributed in the network area. The geometrical distance distribution (GDD) of two nodes plays an important role in determining many fundamental network performance metrics, which can be further utilized in network protocol design, modeling, analysis, performance evaluation, and optimization. In general, there are two types of GDD useful in wireless communication networks, namely, type-1: between a given reference node and a random one, and type-2: between two random nodes. For both of them, existing work on obtaining GDD assumed the network geometry to be a regular one, such as circle, square or regular hexagon. However, the practical network geometry usually is quite irregular. In addition, for the type-1 GDD, the existing work limits that the reference point has to be inside or on the boundary, and for the type-2 GDD, the GDDs associated with separate or overlapped geometries remain an open issue, which limits the application of GDD. In this talk, I will introduce the work in our lab which has eliminated the above assumptions and limitations. The results shall have a wide application in heterogeneous networks, D2D communications, and so on. I will also introduce our other work on protocol design and performance evaluation for WSNs if time allows.
报告人简介:
Fei Tong received his B.S. degree in Computer Science and Technology from South-Central University for Nationalities, Wuhan, China, in 2009, and he received his M.S. degree in Computer Engineering from Chonbuk National University, South Korea, in 2011. He is currently a Ph.D. candidate supervised by Dr. Jianping Pan at the Department of Computer Science, University of Victoria. His research interests include protocol design and performance analysis for advanced wireless communication networks. His research has been published in premium computer networking conf. and journals, e.g., JSAC, TMC, Infocom2015.