摘要
分簇是无线传感器网络中节省节点能量的一种有效方法。研究在传感器节点均具有数据融合能力时,网络的分簇方式以及最大化簇的寿命,提出用簇与簇头节点的能耗向量来具体刻画每个簇能量消耗的方法,建立了最大化簇寿命的整数线性规划模型,并应用该模型分析了两种基本的分簇机制下簇的寿命,提出了对就近点分簇机制下簇结构的一种调整算法。仿真实验表明,这种调整可在缩短网络时延的同时有效地延长簇的寿命。
Clustering is a technology in which sensors are used to combine data for eliminating redundant trans-missions and energy in sensor networks. In this paper, each node can fuse received packets into one. The integral linear programming models are constructed to maximize the lifetime of each cluster based on the description of the cluster＇s and clusterhead＇s energy consuming vectors, then the model is extended to analyze two basic clustering algo- rithms. Finally the nearest node algorithm is improved, and the simulation experiments show that the improved one is more effective for shortening the delay and increasing the lifetime of some clusters.
出处
《计算机仿真》
CSCD
2008年第2期116-120,共5页
Computer Simulation
基金
国家863计划重大专项(2002AA103061)
国家自然科学基金项目(10171095)
关键词
传感器网络
分簇
数据融合
寿命
最优化
Wireless sensor networks
Clustering
Data aggregation
Lifetime
Optimization
