Nassima Merabtine
Towards optimized one-step clustering approach in wireless sensor networks
Merabtine, Nassima; Djenouri, Djamel; Zegour, Djamel-Eddine; Bounnssairi, Adel; Rahmani, Khaled
Authors
Dr Djamel Djenouri Djamel.Djenouri@uwe.ac.uk
Associate Professor in Computer Science
Djamel-Eddine Zegour
Adel Bounnssairi
Khaled Rahmani
Abstract
This paper introduces a nonlinear integer programming model for the clustering problem in wireless sensor networks, with a threefold contribution. First, all factors that may influence the energy consumption of clustering protocols, such as cluster-heads selection and distribution, are considered implicitly in the model. Second, an innovative fitness function that directly maximizes the WSN lifetime is proposed. Finally, a global optimum of the whole network lifespan clustering schemes is targeted. The proposed model is then solved by a particle swarm optimization meta-heuristic based algorithm. This algorithm follows a centralized one-step off-line approach, in which the clustering schemes of the whole network lifetime and their associated durations are computed at the initialization of the network operations. The one-step approach is enabled by an energy prediction mechanism that allows to reduce the costs of the periodic network re-clustering. Simulation results show clear enhancement in network lifespan and number of received data packets as compared to some state-of-the-art clustering approaches.
Citation
Merabtine, N., Djenouri, D., Zegour, D., Bounnssairi, A., & Rahmani, K. (2021). Towards optimized one-step clustering approach in wireless sensor networks. Wireless Personal Communications, 120, 1501–1523. https://doi.org/10.1007/s11277-021-08521-0
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 10, 2021 |
Online Publication Date | May 3, 2021 |
Publication Date | 2021-09 |
Deposit Date | Apr 22, 2021 |
Publicly Available Date | May 4, 2022 |
Journal | Wireless Personal Communications |
Print ISSN | 0929-6212 |
Electronic ISSN | 1572-834X |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 120 |
Pages | 1501–1523 |
DOI | https://doi.org/10.1007/s11277-021-08521-0 |
Public URL | https://uwe-repository.worktribe.com/output/7283556 |
Files
Towards optimized one-step clustering approach in wireless sensor networks
(712 Kb)
PDF
Licence
http://www.rioxx.net/licenses/all-rights-reserved
Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved
Copyright Statement
This is a post-peer-review, pre-copyedit version of an article published in Wireless Personal Communications. The final authenticated version is available online at: https://doi.org/10.1007/s11277-021-08521-0
You might also like
Knowledge guided deep learning for general-purpose computer vision applications
(2023)
Conference Proceeding
Deep learning for estimating sleeping sensor’s values in sustainable IoT applications
(2022)
Conference Proceeding
Hybrid RESNET and regional convolution neural network for accident estimation
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search