期刊文献+

基于遗传算法的无线传感器网络能耗优化

Wireless Sensor Network Energy Consumption Optimization Based on the Genetic Algorithm
下载PDF
导出
摘要 为了延长无线传感网络的使用寿命,提出了一种优化传感网络路由的遗传算法。该算法通过分析节点发送功率变化下的链路流量约束,链路最大传输效率约束,节点能耗约束等条件。感知路由从数据传输的能量消耗量出发,讨论最优能量消耗路径,提高节点能量利用率,延长网络生存期。其基本实现是根据节点的剩余能量和传输路径上的能量消耗来选择路由路径。仿真实验表明,该算法可以平衡节点能耗和邻节点使用数量,延长网络的生存寿命。 To prolong the service life of wireless sensor network,puts forward the optimization of sensor network routing of the genetic algorithm.The algorithm analysis nodes sending power change of flow balance constraint link,link maximum transmis sion efficiency constraint and node energy consumption constraint conditions,.Energy perception routing from data transmission based on the energy consumption,and discuss the optimal energy consumption path,efficient use of node energy,prolong the network life cycle.The basic realization is based on the rest of the node energy or transmission path energy needs to select rout ing path.Simulation experiments show that this algorithm can balance node energy and neighbor node quantity,prolong the net work life time.
作者 张利斌
出处 《电脑知识与技术》 2013年第1X期582-585,共4页 Computer Knowledge and Technology
关键词 无线传感网 遗传算法 优化使用时间 能耗 wireless sensor network Genetic algorithm Optimize the use time.Energy consumption
  • 相关文献

参考文献11

二级参考文献214

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 2吴小燕,聂欣,朱艺华.一种适用于单向ad-hoc网络的连通支配集算法[J].传感技术学报,2006,19(3):905-907. 被引量:6
  • 3文家焱,陈黎,毛恺.“小世界”无线传感器网络的最佳近邻节点数[J].电子测量技术,2007,30(4):202-205. 被引量:4
  • 4昂志敏,金海红,范之国,段勇.基于ZigBee的无线传感器网络节点的设计与通信实现[J].现代电子技术,2007,30(10):47-49. 被引量:91
  • 5Wang Yun , Wang Demin, Fu Weihuang and Dharma P. Agrawal. Hops-Based Sleep Scheduling Algorithm for Enhancing Lifetime of Wireless Sensor Networks[C]// IEEE Mobile Ad hoc and Sensor Systems Conf. , Oct. 2006:709-714.
  • 6Yang H, Ye F and Sikdar B. A Dynamic Query-Tree Energy Balancing Protocol for Sensor Networks[C]// IEEE Wireless Communications and Networking Conf. , Mar. 2004,3 : 1715- 1720.
  • 7Jing Wang and Ivan Howitt. Optimal Traffic Distribution in Minimum Energy Wireless Sensor Networks [C]// IEEE Global Telecommunications Conference, 2005. GLOBECOM'05, 6:3274-3278, 28 Nov.-2 Dec. 2005.
  • 8Liang Weifa, Liu Yuzhen. Online Data Gathering for Maximizing Network Lifetime in Sensor Networks[J]. IEEE Trans. on Moblie Computing, Jan. 2007,6 ( 1 ) : 2-11.
  • 9Heinzelman W R, Chandrakasan A, and Balakrishnan H. Energy-Efficient Communication Protocol for Wireless Microsensot Networks[C]// Proc. of the 33rd Annual Hawaii Int'l Conf. on System Sciences. Maul: IEEE Computer Society, Jan, 2000: 3005-3014.
  • 10Lindsey S, Raghavendra C S. PAGASIS: Power-Efficient Gathering in Sensor Information Systems[C]// IEEE Aerospace Conference Proceedings, Mar. 2002, 3:3-1125 to 3- 1130.

共引文献2871

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部