Residual-Energy Aware Modeling and Analysis of Time-Varying Wireless Sensor Networks

Document Type

Article

Publication Date

6-1-2021

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.

Identifier

85102611329 (Scopus)

Publication Title

IEEE Communications Letters

External Full Text Location

https://doi.org/10.1109/LCOMM.2021.3065062

e-ISSN

15582558

ISSN

10897798

First Page

2082

Last Page

2086

Issue

6

Volume

25

Grant

20190907

Fund Ref

National Key Research and Development Program of China

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