Energy-Efficient Power Scheduling for State Estimation Over Two-Hop Relay Networks

IF 8.4 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI:10.1109/TSMC.2026.3650971

Xue Zhang;Yao Li;Xinping Guan

{"title":"Energy-Efficient Power Scheduling for State Estimation Over Two-Hop Relay Networks","authors":"Xue Zhang;Yao Li;Xinping Guan","doi":"10.1109/TSMC.2026.3650971","DOIUrl":null,"url":null,"abstract":"In this article, an online power scheduling problem over two-hop relay networks is investigated. We first provide a general framework of the transmission scheduling problem for the two-hop case under power constraints. Due to the typical characteristics of the multihop transmissions, centralized and decentralized transmission scheduling schemes are introduced, where centralized and decentralized delays are properly defined, respectively. A threshold-triggered algorithm is figured out for the sensor/relay to switch between different power levels, where the triggering threshold and selection probabilities can be determined by the given power constraint. For the centralized scheme (CS), we explicitly analyze the performance by providing the upper and lower bounds of the estimation performance; for the decentralized scheme (DS), the estimation performance is also figured out in an analytical form. The comparisons between proposed online strategies and the offline ones have shown the superiority of online strategies over the optimal offline strategy. Numerical simulations have validated the effectiveness and superiority of our proposed algorithms.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 4","pages":"2749-2762"},"PeriodicalIF":8.4000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11361245/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

In this article, an online power scheduling problem over two-hop relay networks is investigated. We first provide a general framework of the transmission scheduling problem for the two-hop case under power constraints. Due to the typical characteristics of the multihop transmissions, centralized and decentralized transmission scheduling schemes are introduced, where centralized and decentralized delays are properly defined, respectively. A threshold-triggered algorithm is figured out for the sensor/relay to switch between different power levels, where the triggering threshold and selection probabilities can be determined by the given power constraint. For the centralized scheme (CS), we explicitly analyze the performance by providing the upper and lower bounds of the estimation performance; for the decentralized scheme (DS), the estimation performance is also figured out in an analytical form. The comparisons between proposed online strategies and the offline ones have shown the superiority of online strategies over the optimal offline strategy. Numerical simulations have validated the effectiveness and superiority of our proposed algorithms.

查看原文本刊更多论文

两跳中继网络状态估计的节能电力调度

研究了一种基于二跳中继网络的在线电力调度问题。首先给出了功率约束下两跳传输调度问题的一般框架。针对多跳传输的典型特点，提出了集中式和分散式传输调度方案，并分别对集中式和分散式延迟进行了适当的定义。提出了传感器/继电器在不同功率水平之间切换的阈值触发算法，其中触发阈值和选择概率由给定的功率约束确定。对于集中式方案（CS），我们通过提供估计性能的上界和下界来明确地分析性能；对于分散方案（DS），也以解析形式给出了估计性能。通过对所提出的在线策略与离线策略的比较，表明在线策略优于最优离线策略。数值仿真验证了所提算法的有效性和优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS

CiteScore

18.50

自引率

11.50%

发文量

812

审稿时长

6 months

期刊介绍： The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.