An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

Artificial Intelligence-based Quorum systems are used to solve the energy crisis in real-time wireless sensor networks. They tend improve coverage, connectivity, latency, and lifespan of networks where millions nodes need be deployed a smart grid system. The reality is that sensors may consume more power reduce lifetime network. This paper proposes quorum-based system number quorum increased without actually increasing quorums themselves, leading improvements throughput latency by 14.23%. proposed artificial intelligence scheme reduces network due an increase time slots over conventional algorithms previously proposed. Secondly, consumption reduced weighted load balancing, improving network's actual lifespan. Our experimental results show coverage rate on average 11% Coverage Contribution Area (CCA), Partial with Learning Automata (PCLA), Probabilistic Protocol (PCP) protocols respectively.