Work place: School of Computer Science and Engineering, VIT-AP University, Vijayawada-522237, India
E-mail: vsurendra.cse@gmail.com
Website: https://orcid.org/0000-0002-5882-733X
Research Interests: Data Compression, Image Processing, Network Security, Artificial Intelligence
Biography
Dr. Surendra Reddy V. currently working as Associate Professor, School of Computer Science and Engineering, VIT AP University, Amaravathi. He is dedicated to Teaching field from the past 12 years. Published more than 20 papers in national and international journals and conferences. Member in Editorial board and Reviewer for various international journals and many more awards for his research. He has guided 36 P. G Students and 50 U. G Students. His research area is Machine Learning, Image Processing, Data Mining, network Security and included Artificial Intelligence. He is highly Passionate and Enthusiastic about his teaching.
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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