An Adaptive Energy-Saving Scheme for Green Optical Networking: Combining Flow-Aware Load Adaptive Routing and Flow-Aware Distance Adaptive Routing

ABSTRACT

Nowadays, there is an increasing need for advanced technological solutions due to concerns about the energy crisis and environmental protection. In particular, there has been a growing focus on developing green Information and Communication Technologies (ICT) solutions, as the energy consumption of ICT devices has been rapidly increasing in recent decades. This paper introduces EPSO-based flow-aware routing mechanisms that aim to minimize Queueing Delay, Power Consumption (Energy Dissipation), and Load Deviation. Two flow-aware mechanisms, namely, the Flow-aware load adaptive scheme (FA-LAR) and the flow-aware distance adaptive scheme (FA-DAR), are utilized in this study. The goal is to avoid traffic congestion across the routes by selecting the most direct and efficient paths for the flows. These routed paths are optimized using the MEPSO-based FA-DAR routing algorithm, resulting in significant energy savings. Extensive numerical simulations are conducted to evaluate the proposed algorithms using metrics such as throughput, routing efficiency, queuing delay, load deviation, and energy efficiency. The simulation results demonstrate that the proposed method outperforms existing benchmark methods in all metrics. Furthermore, it ensures lower power consumption, queuing delay, and load deviation. The method exhibits a 30% improvement in throughput and a 24% improvement in energy efficiency compared to existing benchmark methods.

KEYWORDS:

• Flow-aware distance adaptive scheme
• Flow-aware load adaptive schemes
• routing
• traffic demand
• link utilization

Disclosure statement

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

Human and animal rights

This article does not contain any studies with human or animal subjects performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Notes on contributors

Mathumohan Swamidoss

Mathumohan Swamidoss obtained his Bachelor’s degree in Information Technology from St. Joseph’s College of Engineering, Chennai, Tamilnadu, India, and did his Master’s degree in Software Engineering from Rajalakshmi Engineering College, Chennai, Tamilnadu, India, and did his PhD Degree from Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. Currently, he is Working in the Department of Computer Science and Engineering at Unnamalai Institute of Technology, kovilpatti, Tamilnadu India. He has more than 11 years of teaching experience in Engineering College. His research interests include Energy-based Schemes in Green optical Networking and Image Processing.

Duraimurugan Samiayya

Duraimurugan Samiayya obtained his Bachelor’s degree in Computer Science and Engineering from Noorul Islam College of Engineering, Tamilnadu, India, and did his Master’s degree in Systems Engineering and Operations Research from College of Engineering Guindy, Anna University, Chennai, Tamilnadu India-25 and did his PhD Degree from Sathyabama Institute of science and technology, Chennai, Tamilnadu, India-119. Currently, he is working in the Department of Information Technology at St. Joseph’s College of Engineering, Chennai, Tamilnadu India-119. He has more than 15 years of teaching experience in Engineering College. His research interests include Congestion control in Multimedia Streaming and Image Processing.

Manikandan Gunasekar

Manikandan Gunasekar obtained his Bachelor’s degree in Computer Science and Engineering from St. Joseph’s College of Engineering, Tamilnadu, India. Then, he obtained his Master’s degree in Computer Science and Engineering from St. Joseph’s College of Engineering, Tamilnadu, India. He received his PhD degree from Sathyabama Institute of Science and Technology, Chennai, India, and he is working at the Department of Information Technology, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India. His current research interests are Wireless Sensor Networks, Mobile Networks.