Nrusingha Charan Pradhan

Work place: Department of Electrical Engineering, Reykjavik University, 101 Reykjavik, Iceland



Research Interests: Game based learning, Generic and Metaprogramming, Solid Modeling, Planning and Scheduling


Nrusingha Charan Pradhan received his B.Tech. degree from the Biju Pattanaik University of Technology, Odisha, India, in 2013, the M. Tech degree in Electronics Engineering from Pondicherry Central University, Puducherry, India, in 2016, and the Ph.D. degree from NIT, Trichy, India, 2022. He was with the Integrated Test Range, Defence Research and Development Organization, Chandipur, India (DRDO-ITR), for two years. He was the chairman of the IEEE MTT-S student branch chapter NIT, Trichy, during 2019-2022. Currently, he is working as a post-doctoral researcher with the Engineering Optimization & Modeling Center (EOMC), Department of Electrical Engineering, Reykjavik University, Iceland. His research interests include multiband microwave devices, SIW components, surrogate-based modeling, and optimization.

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:, 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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