Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 14, Pages: 1122-1132
N C Sachithanantham1*, V Jaiganesh2
1Research Scholar, PG & Research Department of Computer Science, Dr.N.G.P Arts and
Science College, Coimbatore, 641048, Tamilnadu, India. Tel.: 9786595599
2Professor, PG & Research Department of Computer Science, Dr.N.G.P Arts and Science
College, Coimbatore, 641048, Tamilnadu, India
Email: [email protected]
Received Date:21 March 2021, Accepted Date:25 March 2021, Published Date:26 April 2021
Objectives: To propose an energy-efficient routing protocol for forwarding Data Packets for effective transmission of captured data using Machine Learning Methods in order to enhance WSN service efficiency. Methods: This study proposes a new routing mechanism Enhanced Energy Efficient Routing Protocol (EEE-RP) to extend the network life by reducing end-to-end delays by forwarding data packets to their destinations in the most efficient and optimal way possible using the best path. To forward data packets in a dynamic and noise-free manner, machine learning approaches such as reinforcement learning, random walk data collection, and Markov decision process framework methods are used. Findings: To demonstrate the efficiency of the proposed EEE-RP protocol, the NS2 Version 35 simulator is used. The simulation results are compared to the baseline EH-WSN and ECO-LEACH protocols in terms of data arrival rate, packet drop ratio, packet delivery ratio, energy consumption, network traffic, delay and network lifetime to show the superior performance in forwarding the data packets in an efficient manner. Novelty: According to the results of the comprehensive study, EEE-RP performs better at detecting network failures, selecting the most appropriate route to forward data packets, minimizing energy consumption, minimizing delay time, and enhancing the network lifetime.
Keywords: Energy Efficient Protocol; Sensor Networks; Machine Learning;Packets; Routing
© 2021 Sachithanantham & Jaiganesh.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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