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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Venappagari Eswari
REVA University
Computer Science & IT

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Hybrid optimization algorithm for resource-efficient and data-driven performance in agricultural IoT Depa Ramachandraiah Kumar Raja; Zuraida Abal Abas; Goshtu Hemanth Kumar; Chakana Ravindra Murthy; Venappagari Eswari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 1: February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i1.26361

Abstract

The agricultural sector is undergoing a significant transformation with the adoption of the agricultural internet of things (IoT), yet it faces persistent challenges in optimizing resource efficiency and data-driven performance due to limitations in current optimization algorithms. This research assesses the effectiveness of four prominent algorithms such as ant colony optimization (ACO), genetic algorithms (GA), particle swarm optimization (PSO), and artificial bee colony (ABC) in addressing these challenges within agricultural IoT (AIoT). Introducing a novel hybrid optimization algorithm (HOA), we aim to overcome these limitations by prioritizing both resource efficiency and data-driven performance. Through a thorough evaluation, HOA demonstrates its superiority in enhancing both aspects, thereby establishing itself as a compelling solution for AIoT applications. The introduction of HOA sets the stage for sustainable, cost-effective, and data-driven precision agriculture, significantly enhancing resource efficiency and data accuracy within the IoT network.
Co-Authors Chakana Ravindra Murthy Depa Ramachandraiah Kumar Raja Goshtu Hemanth Kumar Zuraida Abal Abas