An Approach of Distributed Joint Optimization for Cluster-based Wireless Sensor Networks  

作　　者：Zhixin Liu Yazhou Yuan Xinping Guan Xinbin Li 

机构地区：[1]the Institute of Electrical Engineering,Yanshan University [2]the School of Electronic,Information and Electrical Engineering,Shanghai Jiao Tong University

出　　处：《IEEE/CAA Journal of Automatica Sinica》2015年第3期267-273,共7页自动化学报（英文版）

基　　金：supported partly by National Natural Science Foundation of China(61473247,61104033,61172095);Hebei Provincial Natural Science Fund(F2012203109)

摘　　要：Wireless sensor networks (WSNs) are energyconstrained, so energy saving is one of the most important issues in typical applications. The clustered WSN topology is considered in this paper. To achieve the balance of energy consumption and utility of network resources, we explicitly model and factor the effect of power and rate. A novel joint optimization model is proposed with the protection for cluster head. By the mean of a choice of two appropriate sub-utility functions, the distributed iterative algorithm is obtained. The convergence of the proposed iterative algorithm is proved analytically. We consider general dual decomposition method to realize variable separation and distributed computation, which is practical in large-scale sensor networks. Numerical results show that the proposed joint optimal algorithm converges to the optimal power allocation and rate transmission, and validate the performance in terms of prolonging of network lifetime and improvement of throughput. © 2014 Chinese Association of Automation.Wireless sensor networks(WSNs) are energyconstrained,so energy saving is one of the most important issues in typical applications.The clustered WSN topology is considered in this paper.To achieve the balance of energy consumption and utility of network resources,we explicitly model and factor the effect of power and rate.A novel joint optimization model is proposed with the protection for cluster head.By the mean of a choice of two appropriate sub-utility functions,the distributed iterative algorithm is obtained.The convergence of the proposed iterative algorithm is proved analytically.We consider general dual decomposition method to realize variable separation and distributed computation,which is practical in large-scale sensor networks.Numerical results show that the proposed joint optimal algorithm converges to the optimal power allocation and rate transmission,and validate the performance in terms of prolonging of network lifetime and improvement of throughput.

关 键 词：ALGORITHMS Distributed computer systems Energy conservation Energy utilization Iterative methods OPTIMIZATION Parallel algorithms Power control 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]