IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Enhancing Wireless Sensor Networks with Energy-Efficient Hybrid K-Medoids and Sunflower Optimization Algorithm

Main Article Content

Sivaramakrishnan Arulswamy
» doi: 10.48047/ijfans/v10/si1/21

Abstract

Ensuring the prolonged energy endurance of sensor nodes within Wireless Sensor Networks (WSNs) is a paramount concern for their efficient operation. One viable strategy to achieve this goal is the incorporation of cluster heads (CHs) as pivotal energy sources to extend the overall longevity of WSNs. The effectiveness of CHs hinges on their ability to facilitate efficient communication within and between clusters, directly impacting the network's overall lifespan. However, determining the optimal energy allocation for WSNs and devising clustering algorithms presents significant challenges. Experimental results underscore the superiority of SFO-CORP when compared to existing protocols like LEACH, EECRP, FEEC-IIR, and CL-IoT. SFO-CORP achieves notable enhancements in various network performance metrics, including packet delivery ratio, energy consumption, end-to-end delay, network lifetime, and computational efficiency. These outcomes signify the potential of SFO-CORP as a promising solution for optimizing WSNs and ensuring their sustained energy-efficient operation.

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