Suresh Ponnan
An artificial intelligence based quorum system for the improvement of the lifespan of sensor networks.
Ponnan, Suresh; Saravanan, Aanandha K.; Iwendi, Celestine; Ibeke, Ebuka; Srivastava, Gautam
Authors
Aanandha K. Saravanan
Celestine Iwendi
Dr Ebuka Ibeke e.ibeke@rgu.ac.uk
Senior Lecturer
Gautam Srivastava
Abstract
Artificial Intelligence-based Quorum systems are used to solve the energy crisis in real-time wireless sensor networks. They tend to improve the coverage, connectivity, latency, and lifespan of the networks where millions of sensor nodes need to be deployed in a smart grid system. The reality is that sensors may consume more power and reduce the lifetime of the network. This paper proposes a quorum-based grid system where the number of sensors in the quorum is increased without actually increasing quorums themselves, leading to improvements in throughput and latency by 14.23%. The proposed artificial intelligence scheme reduces the network latency due to an increase in time slots over conventional algorithms previously proposed. Secondly, energy consumption is reduced by weighted load balancing, improving the network’s actual lifespan. Our experimental results show that the coverage rate is increased on an average of 11% over the conventional Coverage Contribution Area (CCA), Partial Coverage with Learning Automata (PCLA), and Probabilistic Coverage Protocol (PCP) protocols respectively.
Citation
PONNAN, S., SARAVANAN, A.K., IWENDI, C., IBEKE, E. and SRIVASTAVA, G. 2021. An artificial intelligence based quorum system for the improvement of the lifespan of sensor networks. IEEE sensors journal [online], 21(15), pages 17373-17385. Available from: https://doi.org/10.1109/JSEN.2021.3080217
Journal Article Type | Article |
---|---|
Acceptance Date | May 11, 2021 |
Online Publication Date | May 13, 2021 |
Publication Date | Aug 1, 2021 |
Deposit Date | May 11, 2021 |
Publicly Available Date | May 11, 2021 |
Journal | IEEE sensors journal |
Print ISSN | 1530-437X |
Electronic ISSN | 1558-1748 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Issue | 15 |
Pages | 17373-17385 |
DOI | https://doi.org/10.1109/JSEN.2021.3080217 |
Keywords | Artificial intelligence; Sensor network; Quorum system; Network lifespan; Coverage rate; Neighbor discovery; Weighted quorum system; Graphical abstract |
Public URL | https://rgu-repository.worktribe.com/output/1335078 |
Files
PONNAN 2021 An artificial intelligence
(2 Mb)
PDF
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
A systematic review on blockchain-based access control systems in cloud environment.
(2024)
Journal Article
Investigating key contributors to hospital appointment no-shows using explainable AI.
(2024)
Presentation / Conference Contribution
Machine learning algorithms for stroke risk prediction leveraging on explainable artificial intelligence techniques (XAI).
(2024)
Presentation / Conference Contribution