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
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）