题  目：Base Station Controlled Intelligent Clustering Routing in Wireless Sensor Networks

报告人：Haiyi Zhang, Ph.D. Associate Professor,

       JodreySchoolof Computer Science,Acadia University,Canada

时  间：2012年7月12日(周四) 下午13：30—15：30

地  点：信息学院216学术报告厅

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报告摘要：

The main constrains for Wireless Sensor Network (WSN) are its limited energy and bandwidth. In industry, WSN is deployed with massive node density and diverse placement. This turns out to produce a lot of sensory traffic with redundancy. Accordingly, it decreases the lifetime of sensor network. In our proposed Base Station Controlled Intelligent Clustering Routing (BSCICR) approach, we investigate the problem on energy-efficient data transmission for WSN in a radio harsh environment where lots of sensor nodes may die by running out of their power or new sensor nodes may join in this WSN. The network lifetime that we defined is as the duration time until the first sensor node failure due to battery depletion. We propose a novel approach to create optimal routing paths for data transmissions. This process is classified by two phases. Firstly, Genetic Algorithm (GA) is performed in the Base Station (also called as sink) to generate the optimal clusters and cluster heads for a given WSN. Secondly, Dijkstra’s algorithm is used to generate the energy-efficient routing paths based on the optimal cluster heads produced by the GA. In addition, we use the concept of data aggregation to eliminate the redundant data. To demonstrate the feasibility of our approach, formal analysis and experimental results are presented.

报告人简介：

Dr. Haiyi Zhang is an associate Professor, Jodrey School of Computer Science,AcadiaUniversity. He got his Master degrees inNJIT,USAand got BS and PHD degree in Harbin Institute Technology of China. His research areas are Artificial Intelligent, Machine learning and Video Recognition. He has published over fifty papers.