文献类型：期刊文献

英文题名：A Clustered Routing Algorithm Based on Forwarding Mechanism Optimization

作者：Sun, Qian[1,2];Pang, Jialong[1,2];Wang, Xiaoyi[2,3];Zhao, Zhiyao[1,2];Li, Jing[4]

第一作者：Sun, Qian

通讯作者：Li, J[1]

机构：[1]Beijing Technol & Business Univ, Sch Comp & Artificial Intelligence, Beijing 100048, Peoples R China;[2]Beijing Lab Intelligent Environm Protect, Beijing 100048, Peoples R China;[3]Beijing Inst Fash Technol, Beijing 100029, Peoples R China;[4]Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China

第一机构：Beijing Technol & Business Univ, Sch Comp & Artificial Intelligence, Beijing 100048, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China.|[1141733]北京联合大学继续教育学院;[11417]北京联合大学;

年份：2024

卷号：24

期号：22

起止页码：38071-38081

外文期刊名：IEEE SENSORS JOURNAL

收录：;EI(收录号：20244717406413);Scopus(收录号：2-s2.0-85209592734);WOS:【SCI-EXPANDED(收录号:WOS:001355285600089)】；

基金：This work was supported by the National Natural Science Foundation of China under Grant 61802010.

语种：英文

外文关键词：Clustered routing; forwarding mechanism; high coverage; multihop forwarding; wireless sensor networks (WSNs)

摘要：Given the intrinsic low energy and high consumption characteristics of sensor nodes, it is imperative to explore strategies for achieving energy-efficient routing within wireless sensor networks (WSNs). A significant body of existing research on clustered routing algorithms for WSNs has concentrated on employing heuristic optimization algorithms to facilitate the selection of routing paths. However, once the number of sensor nodes or the deployment environment changes, the algorithm's performance can fluctuate significantly, potentially requiring redesign and retuning. In this article, we propose the clustered routing algorithm based on forwarding mechanism optimization (CRFMO), which defines separate routing rules for intracluster and intercluster communication, providing suitable communication paths for nodes. The algorithm eschews the complex procedure of parameter tuning during the routing path selection process and contributes to expediting WSN deployment and balancing node load pressure, ultimately extending the network's operational lifespan. Simulation outcomes reveal that, in comparison to LEACH-IACA and IMP-LEACH, the CRFMO algorithm markedly enhances energy distribution balance, equalizes the burden among nodes, sustains high network coverage over an extended period, which enhances the quality of network monitoring, and significantly extends the lifetime of the network.