K. Venkateswara Rao

Work place: Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad-501401, India

E-mail: vrkatevarapu@gmail.com

Website: https://orcid.org/0000-0002-9364-2461

Research Interests: Big data and learning analytics, Data Structures and Algorithms


K. Venkateswara Rao received the B. Tech degree in CSE from JNTU Hyderabad and M. Tech degree in CSE from Acharya Nagarjuna University, Guntur. He is currently pursuing the Ph.D. degree at JNTU Ananthapuramu. He is having 15 years of teaching experience and currently working as an Assistant Professor in CSE at CMR College of Engineering & Technology, Hyderabad. His current research interests include Big Data Analytics, Machine Learning, deep learning, and time series analysis.

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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