Software Defined Network Based Enhanced Energy-Aware Load Balancing Routing Protocol

Abstract

The Software Defined Network (SDN) offers a potential solution toward source development challenges. Several network applications have adopted and used the Energy Aware Routing (EAR) protocol. The main issue with this practice is its excessive energy usage and impact. Subsequently, toward work on the exhibition of directing convention in SDN, the ongoing effort has been planned for a clever Buffalo-based Energy Aware Duty Cycle Routing (BEADCR) convention to reduce energy use. Here, buffalo wellness screens the highly energy-intensive hubs and eliminates them. The information pace of every hub remained noticed, and the zero information rate hubs remained viewed as rest hubs. Moreover, to avoid an impact, the information above of every hub was observed, and the relocation capability was achieved to impart a great burden to the balance hubs through enacting the introduced BEADCR system. It further develops execution by acquiring high observing exactness, less energy utilization, a great Packet-Delivery Ratio (PDR), a great throughput proportion, and great energy effectiveness. At last, the outcome acquired is contrasted with other present systems to decide the viability of the suggested model. The proposed strategy’s checking precision beat the methods by 98.22% for the twentieth hub. 98.59% for the 40th, 98.74% for the 60th, 98.9% for the 80th, and 99.1% for the 100th hub.

Keywords:

• software-defined-network
• network lifetime
• data rate
• energy consumption
• data overhead

Authors Contributions

All authors have equal contributions in this work.

Conflict of Interest

Authors declare that they have no conflict of interest.

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Data Availability Statement

Data sharing not applicable to this article.

Disclosure Statement

No potential competing interest was reported by the authors.

Ethical Approval

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

Additional information

Notes on contributors

Choupiri Shivakeshi

Choupiri Shivakeshi is Assistant Professor in the Computer Science & Engineering Department, at Rao Bahadur Y Mahabaleswarappa Engineering College from December 2012 to till date & has published 5 research papers in different International refereed journals & presented 2 papers in different International Conferences. His area of Interest is Software Defined Networking.

B. Sreepathi

B. Sreepathi Dean & Professor in the Information Science & Engineering Department, at Rao Bahadur Y Mahabaleswarappa Engineering College Ballari. He has worked in the same institute since 2001 and Research supervisor for 5 scholars. He has published 25 research papers in different international conferences and national conferences. His areas of interest Image Processing and computer vision, Computer Networking, Cyber Security and AI & ML.