A Distributed Hybrid Event-Time-Driven Scheme for Optimization Over Sensor Networks

作     者：Hu, Bin Guan, Zhi-Hong Chen, Guanrong Shen, Xuemin 

作者机构：Huazhong Univ Sci & Technol Britton Chance Ctr Biomed Photon Minist Educ Wuhan Natl Lab Optoelect Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Minist Educ Key Lab Biomed Photon Sch Engn Sci Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Coll Automat Wuhan 430074 Hubei Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada 

出 版 物：《IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS》 (IEEE工业电子学汇刊)

年 卷 期：2019年第66卷第9期

页      面：7199-7208页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

基　　金：National Natural Science Foundation of China [61672245, 61633011, 61772086, 61672244, 61572210] Hong Kong Research Grants Council under GRF Grant [CityU11200317] 

主　　题：Distributed algorithm hybrid event-time-driven scheme optimization sensor network (SN) 

摘      要：In sensor networks (SNs), how to allocate the resources so as to optimize data gathering and network utility is an important and challenging task. This paper studies the distributed optimization problem in SNs. A distributed hybrid-driven algorithm based on the coordinate descent method is presented for the optimization purpose. The proposed optimization algorithm differs from the existing ones since the hybrid driven scheme allows more choices of actuation time, resulting a tradeoff between communications and computation performance. Applying the proposed algorithm, each sensor node is driven in a hybrid event time manner, which removes the requirement of strict time synchronization. The convergence and optimality of the proposed algorithm are analyzed, and then verified by simulation examples. The developed results also show the tradeoff between communications and computation performance.