摘要
针对保证网络连通覆盖和最小能量消耗的优化目标,建模了基于节点协同覆盖的传感器网络寿命最大化模型.提出一种基于多目标优化遗传算法的求解方案,设计了基于链路状态的分簇机制以及基于NSGA-Ⅱ的簇内覆盖控制算法.仿真结果表明该方案能快速收敛于最优解,在高密度和低密度布撒环境下表现出优越的性能,且具有良好的适应性.
To the objectives of guaranteeing coverage connectivity and using the least energy consumption, an optimal lifetime model based on multi-nodes cooperation coverage is presented. A multi-ohjective optimization genetic algorithm is proposed to obtain the optimal solution, including the clustering scheme based on link state and the coverage control scheme based on NSGA-Ⅱ inside the cluster. Outstandingly, the instances of high and low density nodes are studied to prolong the lifetime of the whole network. Numerical and simulation results are provided to validate the claims.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第8期1181-1186,共6页
Control and Decision
基金
国家自然科学基金项目(60602061
60673159
70671020)
国家高新技术研究发展计划重点项目(2007AA041201)
教育部科学技术研究重点项目(108040)
高等学校博士学科点专项科研基金项目(20060145012
20070145017)
关键词
无线传感器网络
网络寿命
节点协同覆盖
遗传算法
Wireless sensor network
Network lifetime, Multi-nodes cooperation coverage~ Genetic algorithm