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.
| Original language | English (US) |
|---|---|
| Article number | 9374454 |
| Pages (from-to) | 2082-2086 |
| Number of pages | 5 |
| Journal | IEEE Communications Letters |
| Volume | 25 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2021 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering
Keywords
- Energy efficiency
- Markov chain
- network lifetime
- node-residual energy
- wireless sensor networks