V. Anbarasu

Work place: Department of Networking and Communication, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu-603203, India

E-mail: anbarasukv@gmail.com

Website: https://orcid.org/0000-0002-8086-2553

Research Interests: Computational Science and Engineering, Computational Engineering, Computer systems and computational processes, Computer Architecture and Organization


Dr. V. Anbarasu received his B. E from SVNIT, Surat, Gujarat in Computer Engineering and M.Tech in IT and PhD in CSE from Sathyabama University, Chennai in 2006 and 2014 respectively. Presently he is working as Associate Professor in the Department of Networking and Communications, School of Computing, SRM institute of Science and Technology, Kattankulathur, Chengalpattu. Dr. V Anbarasu also having 20 years of work experience in Engineering Colleges around India. He has published 26 National & International Journals and 32 Conference publications, attended various workshops, seminars and delivered lectures in workshops during his career. He has 7 patents. Also acting as a Guest Faculty in BITS, Pilani and taken various offline/online courses.

Author Articles
Energy Management and Network Traffic Avoidance Using GAODM and E-AODV Protocols in Mobile Ad-Hoc Network

By Ramesh Vatambeti Nrusingha Charan Pradhan E. Sandhya Surendra Reddy Vinta V. Anbarasu K. Venkateswara Rao

DOI: https://doi.org/10.5815/ijcnis.2023.03.06, Pub. Date: 8 Jun. 2023

Because of the mobility of its nodes, MANET plays a significant role in mobile communication. As a result, network infrastructure is frequently changed, resulting in data loss and communication overheads. Despite this, the large packet size causes network congestion or traffic. The difficult task is efficient routing through a dynamic network. For node generation and energy management, the proposed approach in this paper employs GAODM (Geography-based Ad-hoc On Demand disjoint multipath) and E-AODM (Energy Ad-hoc On Demand Vector routing). The proposed GAODM routing protocol reduces congestion using Spider Monkey (SM) Optimization. The E- AODM protocol assesses the energy management solution based on parameters such as delay, energy consumption, routing overhead, and node energy. By choosing the best path through the network, the proposed protocol's effectiveness is increased. The proposed protocol reduces routing overload, delay, and congestion. The simulated results show that increasing the number of packets transmitted in the network using the proposed GAODM and E-AODM routing protocols over the existing protocols on NS 2 reduces node energy and, as a result, overload and delay.

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