Research Article
Spider Web Based Layered Hexagonal (SWLH-LR) Architecture For Optimal CH Selection (CHS) With Linear Routing For Extending Lifetime Of WSN
@INPROCEEDINGS{10.4108/eai.23-11-2023.2343183, author={Kalai Kannan P and Vidhya S}, title={Spider Web Based Layered Hexagonal (SWLH-LR) Architecture For Optimal CH Selection (CHS) With Linear Routing For Extending Lifetime Of WSN}, proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India}, publisher={EAI}, proceedings_a={IACIDS}, year={2024}, month={3}, keywords={ch selection bio-inspired architecture base station clustering hexagonal linear routing}, doi={10.4108/eai.23-11-2023.2343183} }
- Kalai Kannan P
Vidhya S
Year: 2024
Spider Web Based Layered Hexagonal (SWLH-LR) Architecture For Optimal CH Selection (CHS) With Linear Routing For Extending Lifetime Of WSN
IACIDS
EAI
DOI: 10.4108/eai.23-11-2023.2343183
Abstract
This research paper focuses on designing an efficient bio-inspired architecture called as spider web based layered hexagonal architecture for effective CH selection within a cluster and that helps for extending the lifetime of WSN. This made the researcher of WSN to focuses on WSN based application and the extension of survival time of sensor node(S). There are various parameters which involve in increasing the survival time of sensor node of the WSN, one of the important areas to be concentrated is selection of CH. Out of various sensor node filtering out the best CH is a challenging process, to perform this the clustering technique is used for grouping of few sensor nodes and form it as a cluster. Among this sensor node one of the nodes will be selected as CH. The simulation process for the proposed algorithm was done in MATLAB, which shows efficient results relating with the extension of survival time, DDR and decrease in delay, while comparing with the standard set of algorithm such as GSO, FFOA, ABC, and PSO.