BEETLE CHIMP OPTIMIZATION ALGORITHM (BCOA) BASED CLUSTER HEAD (CH) ELECTION AND BLOCKCHAIN-BASED DEEP-LEARNING ROUTING IN WIRELESS SENSOR NETWORK (WSN)

Authors

  • Mrs. C. Saranya, Dr. L. Sudha Author

DOI:

https://doi.org/10.48047/1yqc6b96

Abstract

: Over the past few years, great importance has been given to Wireless Sensor Network 
(WSN) as they play a significant role in facilitating the world with daily life services like healthcare, military, 
social products, etc. However, heterogeneous nature of WSN makes them prone to various attacks, which 
results in low throughput, and high network delay and high energy consumption. In the WSN, routing is 
performed using different routing protocols (Low Energy Adaptive Clustering Hierarchy (LEACH), 
Heterogeneous Gateway-based Energy-Aware Multi-Hop Routing (HMGEAR)). In those protocols, Cluster 
Head Selection (CHS) plays a vital role in WSN that involves choosing a node to collect and transmit data from 
a group of sensors. Some nodes in the network may perform malicious activities. In this paper, Energy 
Efficiency Blockchain Deep Learning (EEBCDL) routing is introduced that accurately classifies all such nodes 
that depict the same behavior.

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References

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Published

2025-02-03

How to Cite

Mrs. C. Saranya, Dr. L. Sudha. (2025). BEETLE CHIMP OPTIMIZATION ALGORITHM (BCOA) BASED CLUSTER HEAD (CH) ELECTION AND BLOCKCHAIN-BASED DEEP-LEARNING ROUTING IN WIRELESS SENSOR NETWORK (WSN). Cuestiones De Fisioterapia, 54(3), 193-213. https://doi.org/10.48047/1yqc6b96