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Dragonfly Algorithm for Hierarchical Clustering in Wireless Sensor Networks - 2021

dragonfly-algorithm-for-hierarchical-clustering-in-wireless-sensor-networks.jpg

Dragonfly Algorithm for Hierarchical Clustering in WSN | S - Logix

Research Area:  Metaheuristic Computing

Abstract:

Wireless sensor networks have worked with the help of battery sources. Every sensor node monitors the physical or environmental conditions. The sensor nodes are utilized to perform data processing and transmitted to BS. This task requires extra energy for data processing which also affects the lifetime. The clustering technique gives a solution for energy-efficient data processing processes. Simulated annealing in LEACH-C algorithm is not suitable for enhancing the lifetime. In this paper, the dragonfly algorithm is proposed in the LEACH-C methodology for locating the cluster head. This technique exploits the swarming behavior of the dragonflies to locate the cluster head. The proposed methodology is measured with the help of alive nodes, and network lifetime. The proposed methodology minimizes energy utilization and improves the network lifetime.

Keywords:  
Wireless sensor networks
sensor node
monitor
physical
environmental condition
LEACH-C algorithm
swarming behavior
dragonflies

Author(s) Name:  B. Pitchaimanickam

Journal name:  

Conferrence name:  2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)

Publisher name:  IEEE

DOI:  10.1109/ICICCS51141.2021.9432337

Volume Information:  IEEE Xplore Part Number: CFP21K74-ART