ReLeC-based clustering and multi-objective optimization for efficient energy optimization in IoT networks

Abstract

In response to the escalating demand for energy-efficient wireless sensor networks (WSNs) within the expanding Internet of Things (IoT) landscape, we introduce ReLeC-MO, a novel protocol that integrates the ReLeC clustering algorithm with multi-objective optimization. Leveraging reinforcement learning-based clustering, ReLeC optimizes network topology to enhance energy efficiency. Multi-objective optimization further refines this process by identifying non-dominated solutions on the Pareto front, facilitating a balanced trade-off between network lifetime, energy consumption, and data transmission quality. Our comprehensive simulations reveal the remarkable performance improvements achieved by ReLeC-MO over existing techniques. Specifically, ReLeC-MO demonstrates a 39% reduction in delay, a 50% decrease in energy consumption, and a 25% increase in throughput, showcasing its efficacy in enhancing both energy efficiency and network performance. It also increases network lifetime by 20%, surpassing the latest existing model. Furthermore, its implementation in MATLAB ensures ease of replication and adaptation across diverse IoT applications.

KEYWORDS:

• Energy optimization
• IoT
• clustering
• ReLeC
• genetic algorithms

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

S. Regilan

Mr. S. Regilan is working as a research scholar in the Department of Electronics and Communication Engineering. He has a track record of successful teaching and education reform and has been teaching Students for decades. He completed his B.E. in Electronics and Communication Engineering Department at Bharath Niketan Engineering College, Anna University, in 2011 and his M.E. in Electronics and Communication Engineering Department at Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation, Chennai, in 2015. Pursuing a Ph.D. in the Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation, Chennai. He worked various recognized Institutions from 2011. He had 12 years of academic experience in the fields of electronics and communication engineering. He is member in various professional bodies, like ISTE and IEEE societies. He participated in and presented at many international & national conferences, workshops, seminars, and webinars in the field of electronics and communication engineering. He published and indexed 5 papers in reputed journals under Scopus with good citations.

L. K. Hema

Dr. L. K. Hema is working as a professor & HOD in the Department of Electronics and Communication Engineering. She has a track record of successful teaching and education reform and has been teaching Students for decades. She had 29 years of academic experience in the field of electronics and communication engineering. Her Research interests includes Hardware and security, VLSI design, Machine Learning, Wireless sensors and Networks, etc. She is member in various professional bodies like ISTE, IEEE, and IETE societies. She participated in and Presented many International & National conferences, workshops, seminars, and webinars in the field of Electronics and Communication Engineering. She published and indexed 40 papers in reputed journals under Scopus with good citations.

J. Jenitha

Mrs. J. Jenitha is a PG Scholar in the Department of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation (DU), Chennai. She obtained her BE in Electronics and Communication from Anna University, Chennai. Her fields of interest are Electronics and System design, IoT, Machine Learning, Robotics and AI. She done various projects related to IOT and system design.