[This article belongs to Volume - 56, Issue - 01, 2024]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-30-04-2024-44

P.Arunkumar1, Dr.K.K.Savitha2

Abstract :

Wireless sensor networks are becoming more and more capable of transporting information as computer and communication technology continue to advance. Wireless sensor networks may not be able to handle a high number of data transfer requests as the demand for information transmission rises. Finding solutions to lower energy consumption during wireless sensor network information transmission is critical for improving the operational efficacy of wireless sensors. Energy carried by the sensor takes precedence in this process. In order to emphasize the significance of the predicted model, security among the sensor nodes is also crucial. The preliminary study examines wireless sensor network clustered routing and begins by looking at cluster creation using the LEACH protocol and analyzing its benefits and drawbacks. The modified bat algorithm is used in this article to assess the nodes' operational status in light of network node usage. The work improves how the localization accuracy between anchor and neighbor nodes is evaluated. Once the modified bat algorithm has determined the node optimization for the best localization accuracy, the Q-learning algorithm is used to locate nodes using its state-action-reward mechanism. For the coverage issue of WSNs, an modified bat algorithm with Q-learning is suggested. This technique can speed up the process of obtaining the ideal solution point set and efficiently extend the life of the system. The simulation revealed some useful benefits of the Modified BAT-Q-learning technique (MBQ), which can be used for later wireless sensor network coverage optimization. The experimental evaluation indicates the proposed MBQ outperforms the existing state-of-art techniques.