会议专题

Wireless sensor network routing protocol based on mind evolutionary algorithm

In the research of wireless sensor energy optimization, energy consumption and network lifetime are the most important issues in the design of wireless sensor network protocols. The goal of network design is to use the energy of sensor nodes efficiently and to prolong the survival time of the network. For the disadvantages, such as the high energy consumption for low energy adaptive clustering hierarchy protocol and short survival lifetime of the network, this paper presents a method that uses Mind Evolutionary Algorithm (MEA) to optimize the design of network routing. This method reflects the idea of the least energy balance and energy consumption, and uses the knowledge processing mechanisms and methods owned by MEA to deal with constraints of the wireless network physical distance. In this way, optimal connectivity options can be achieved and optimizing efficiency of the algorithm is improved. Further, the energy consumption of network nodes is balanced, and the survival time of wireless sensor networks is extended.

Network sensor Routing optimization Mind evolution Energy

Li Li-Hong Zhao Zhi-jun

College of Information Engineering Taiyuan University of Technology Taiyuan,China

国际会议

2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

太原

英文

419-423

2011-02-26(万方平台首次上网日期,不代表论文的发表时间)