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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

Suresh Ponnan

Aanandha K. Saravanan

Celestine Iwendi

Ebuka Ibeke

Gautam Srivastava



Abstract

Artificial Intelligence-based Quorum systems a reused 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], Early Access. 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
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
Peer Reviewed Peer Reviewed
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

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