@article{63467b60f4bc40f08cbbb8b5daf1a201,
title = "Residual-Energy Aware Modeling and Analysis of Time-Varying Wireless Sensor Networks",
abstract = "In this letter, the residual-energy aware feature of a sensor node in time-varying wireless sensor networks (WSNs) is analyzed and modeled as a Markov chain, upon which the state-transition probability (STP) about the energy level of any node with undetermined and deterministic residual energy can be evaluated. Based on Markov chain and energy-efficient relay search region models, an energy-efficient routing algorithm is proposed to further analyze the impact of STP with known residual energy on extending network lifetime of time-varying WSNs. Simulation results show that the proposed algorithm can effectively extend network lifetime even more than twice while holding a better energy efficiency as compared with the algorithm without considering node-residual energy changes. ",
keywords = "Energy efficiency, Markov chain, network lifetime, node-residual energy, wireless sensor networks",
author = "Zhaoming Ding and Lianfeng Shen and Hongyang Chen and Feng Yan and Nirwan Ansari",
note = "Funding Information: Manuscript received December 17, 2020; revised February 6, 2021; accepted March 6, 2021. Date of publication March 10, 2021; date of current version June 10, 2021. This work was supported in part by National Key R&D Program of China (No. 2018YFB1500800), the Specialized Development Foundation for the Achievement Transformation of Jiangsu Province (No. BA2019025), the Pre-research fund of Science and Technology on Near-Surface Detection Laboratory (No. 6142414190405), the Open Project of Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (No. 20190907), and the High-Level Innovation and Entrepreneurial Research Team Program in Jiangsu. The associate editor coordinating the review of this letter and approving it for publication was M. Erol-Kantarci. (Corresponding author: Feng Yan.) Zhaoming Ding, Lianfeng Shen, and Feng Yan are with the National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China (e-mail: zhmding@seu.edu.cn; lfshen@seu.edu.cn; feng.yan@seu.edu.cn). Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",
year = "2021",
month = jun,
doi = "10.1109/LCOMM.2021.3065062",
language = "English (US)",
volume = "25",
pages = "2082--2086",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",
}