C. Sathish This email address is being protected from spambots. You need JavaScript enabled to view it.1 and K. Srinivasan2

1Department of Computer Science, Periyar University, India
2Department of Computer Science, Periyar University Constituent College of Arts and Science, India


Received: March 27, 2021
Accepted: April 30, 2021
Publication Date: June 23, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202112_24(6).0013  


The current world have structured and gained numerous advantages from state-of-the-art of digital and computerized technologies. Internet of Things (IoT) has recently started playing a key role in day-to-day lives, stretching perceptions, and having the capability to monitor our surrounding environment. The definition for agriculture is given as the practice, science, or art for soil cultivation, crop production utilizing diverse techniques of preparation and technologies, and marketing of farming’s end products. Farmer efficacy and effectively can be enhanced with Wireless Sensor Network (WSN) installation for agricultural practice optimization. Gathering of data from multiple sensors is done during data aggregation. To optimize the data aggregation, metaheuristic methods are applied. The processes of mutation, crossover, and natural selection, are replicated in the evolutionary algorithm known as Genetic Algorithm (GA). Artificial Bee Colony (ABC) algorithm’s primary benefit is that it does not get trapped in the calculation of their local minima, and that it also considers the global and local search. An Artificial Bee Colony (ABC) algorithm has been proposed.

Keywords: Genetic Algorithm (GA), Artificial Bee Colony (ABC), Wireless Sensor Network (WSN), Data aggregation devices, Internet of Things (IoT)


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