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
Aanandha K. Saravanan
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.
PONNAN, S., SARAVANAN, A.K., IWENDI, C., IBEKE, E. and SRIVASTAVA, G. . 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|
|Publisher||Institute of Electrical and Electronics Engineers|
|Peer Reviewed||Peer Reviewed|
|Keywords||Artificial intelligence; Sensor network; Quorum system; Network lifespan; Coverage rate; Neighbor discovery; Weighted quorum system; Graphical abstract|
PONNAN 2021 An artificial intelligence
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