Narendra Kumar Kamila

Work place: GITA Autonomous College, Bhubaneswar, India

E-mail: nkamila@rediffmail.com

Website: https://orcid.org/0000-0001-8503-2818

Research Interests:

Biography

Narendra K. Kamila has obtained his M.Tech. degree in Computer Science and Data Processing from In-dian
Institute of Technology, Kharagpur; Ph.D. degree from Utkal University and Post Doc. from University of
Arkansas, USA. He is having more than 30 years of teaching and research experience from different organizations.
He has guided many Ph.D., M.Tech. and under graduate students. Currently 8 Ph. D. students are
working with him leading to Ph. D. degree. Dr.Kamila has published more than 80 research papers in different
journals of repute. He has published14 text/reference books in India, 3 text/reference books in press, 3 edited
books in the USA and 1 lecture note book at India to his credit. He has rich teaching and administrative
experience in-cluding Professor, Head, Dean and Principal at different Engineering Colleges. Dr.Kamila is a
resource person of UGC who trains college teachers at different Universities and distinguished speaker of Computer Society of India.
He has delivered more than 60 national and international technical talks at different places. His research interest includes artificial intelligence, data privacy and analytics, image processing, Adhoc Net and wireless Sensor networking.

Author Articles
Performance Evaluation of the AODV Routing Pro-tocol in Multi-hop WSNs for Target Detection

By Parikesh Dhal Narendra Kumar Kamila Deepak Kumar Rakesh

DOI: https://doi.org/10.5815/ijwmt.2026.02.13, Pub. Date: 8 Apr. 2026

Wireless Sensor Networks (WSNs) are fundamental to security and surveillance applications such as military defense, disaster management, and intrusion monitoring. The performance of these networks depends largely on the efficiency of routing protocols. This paper examines the Ad hoc On-Demand Distance Vector (AODV) routing protocol in multi-hop WSN environments for target tracking, evaluating critical metrics including Packet Delivery Ratio (PDR), End-to-End Delay, Energy Consumption, and Network Lifetime. Simulation results illustrate the impact of node depletion due to transmission loss, affecting network stability and robustness in target detection. In-network detection in WSNs presents trade-offs between real-time data transmission, energy efficiency, and trajectory lifespan. Inefficient routing optimization may result in increased latency, packet loss, and premature node failure, ultimately reducing localization accuracy. While AODV’s reactive path-based approach offers manageable overhead, its performance degrades under increased energy consumption and route rediscovery delays. This study systematically evaluates AODV’s strengths and limitations in time-sensitive detection scenarios. Findings indicate that AODV ensures reliable data transmission in early network stages but suffers significant performance deterioration as node energy declines, impacting coverage and responsiveness. To enhance AODV’s target tracking capabilities, this paper proposes adaptive energy-saving techniques and hybrid routing schemes. These strategies contribute to ongoing research aimed at optimizing routing protocols to balance accuracy and node longevity for real-time WSN applications.

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