Lifetime Maximization Routing Based on Genetic Algorithm for Wireless Sensor Networks

摘要：

　　To prolong network lifetime,lifetime maximization routing based on genetic algorithm (GALMR) for wireless sensor networks is proposed.Energy consumption model and node transmission probability are used to calculate the total energy consumption of nodes in a data gathering cycle.Then,lifetime maximization routing is formulated as maximization optimization problem.The select,crosss,and mutation operations in genetic algorithm are used to find the optimal network lifetime and node transmission probability.Simulation results show that GALMR algorithm are convergence and can prolong network lifetime.Under certain conditions,GALMR outperforms PEDAP-PA,LET,Sum-w and Ratio-w algorithms.

关键词： Wireless sensor networks Genetic algorithm Routing Lifetime maximization

作者: Yourong Chen Tiaojuan Ren Zhangquan Wang Yifeng Ping

作者单位: College of Information Science and Technology, Zhejiang Shuren University, Hangzhou, 310015,China ;C College of Information Science and Technology, Zhejiang Shuren University, Hangzhou, 310015,China

会议类型: 国际会议

会议名称: the 2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology (第一届制造科学与检测技术国际会议(ICFMM2011))

会议地点: 重庆

会议语种:英文

页码: 283-287

在线出版日期: 2011-06-23（万方平台首次上网日期，不代表论文的发表时间）