无线传感器网络最大生命期数据融合算法  

Maximum Lifetime Data Aggregation Algorithm for Wireless Sensor Networks

作　　者：高德民[1,2] 钱焕延[1] 严筱永[1] 王晓楠[1,3] 

机构地区：[1]南京理工大学计算机科学与技术学院,江苏南京210094 [2]卧龙岗大学电子计算机与通信工程学院 [3]常熟理工学院计算机系,江苏常熟215500

出　　处：《南京理工大学学报》2012年第1期55-60,85,共7页Journal of Nanjing University of Science and Technology

基　　金：江苏省自然科学基金(BK2009133);江苏省高校自然科学基金(09KJD520001);中国博士后科学基金(20090451217)

摘　　要：为了降低无线传感器网络融合数据率和最大化网络生命期,根据融合数据率权函数,建立以融合数据率与系统吞吐量的关系模型,依靠数据融合率模型和最大生命期数据融合算法,在融合数据率和网络最大生命期之间寻求一种平衡模型,通过采用融合数据率候选采样点样本空间,在算法复杂度较低情况下,解空间收敛到网络全局最优值,最终在达到降低融合数据率的同时,最大化网络生命期。最后通过仿真验证了算法的性能,并表明所提出算法可以有效延长网络生命期。In order to reduce the data aggregation rate and maximize network lifetime,the relationship between throughput and data aggregation rate is established according to data fusion rate weight function.This paper presents a maximum lifetime data aggregation routing scheme and addresses the problem of jointly optimizing data aggregation and routing so that the network lifetime can be maximized.A balanced model is established between the data aggregation rate and maximum network lifetime.Through the use of optimal candidate sample allocation,the algorithm can converge to the global optimization of networks and make the maximum data aggregation rate flow to the network while maximizing network lifetime.Simulation results show that the proposed algorithm can significantly reduce the data traffic and improve the network lifetime.

关 键 词：无线传感器网络 网络生命期 最大生命期 数据融合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]