Work place: School of Electronics and Communication Engineering, REVA University, Bengaluru-560064, Karnataka, India
E-mail: mrinalsarvagya@reva.edu.in
Website:
Research Interests:
Biography
Dr. Mrinal Sarvagya is a Professor in the School of Electronics and Communication Engineering. She received her PhD degree in Wireless Communication from IIT Kharagpur, her MTech degree in Digital Communication (course work from IIT Kanpur) from DAVV Indore, and her BE degree in Electronics and Communication Engineering from Govt. Engineering College Ujjain. She received the best thesis award from IIT Kharagpur in 2009 for her thesis titled “QoS based packet scheduling and resource allocation schemes for WCDMA UMTS”. She is a member of professional bodies WIE and IEEE. She has 20 years of teaching experience, teaching subjects including Wireless Communication, Advanced Digital Communication, Computer Communication and Networking, Real-Time Operating Systems, Ad Hoc Wireless Networks, and Protocol Engineering. Her research interests include Wireless Communication, channel equalization in OFDM-IDMA/SCM receivers, and Cognitive Radio Networks. She served as Principal Investigator for VGST Karnataka “Zero padding OFDM signals for Cognitive Radio Networks” (2012-2014) and for IEEE Hyderabad “Multimedia Communication over Fibre Optical link” (2012), exhibited at Birla Science Museum Hyderabad. She is currently Principal Investigator for a sponsored project from the Naval Research Board, Ministry of Defence, India (2015), and served as Principal Investigator for the project titled “Attitude determination of Ship in floating dry dock” sponsored by ISRO, India (2019). Her name is included in Marquis Who’s Who in the World directory from 2007 onwards. She has received many awards, including the Young Research Scientist award from VGST Karnataka in 2013 and the Bharat Jyoti Award from the International Friendship Society of India. She received the Outstanding Faculty in Engineering Award from the Venus International Foundation, India, in 2017, and the Best Researcher Award 2020 from REVA University. She has more than 105 publications in international journals and conferences, and is a selection panel member for the Association of Commonwealth Universities fellowships, UK.
By Sachin B. M. Mrinal Sarvagya
DOI: https://doi.org/10.5815/ijitcs.2026.04.05, Pub. Date: 8 Aug. 2026
The 5G-enabled Wireless Sensor Networks (WSNs) leverage the enhanced capabilities of 5G technology to evolve conventional WSN environments. WSN performance may be affected by interference from high-density 5G networks. The novel Hummingbird-based Graph Bernoulli Binomial Trust Management Network (HBbGBBTMN) proposed in this research aims to enhance smart, secure, and energy-efficient routing in 5G-enabled wireless networks. Python is initially used to simulate and model the network under consideration, accounting for fluctuating network conditions and dynamic node behaviors. An improved Hummingbird algorithm is used to detect and remove nodes with high energy consumption, thereby minimizing routing inefficiencies and avoiding suspicious behavior. To protect data integrity and prevent route disruption, malicious nodes are continuously detected and removed. The trust of the remaining nodes is calculated using the Bernoulli-Binomial distribution, which estimates each node's trust based on its previous packet-forwarding history. Such trust mechanisms are combined with node energy levels as well as network dynamics to form a fitness function that identifies optimal routing patterns. The proposed system is validated through extensive performance analysis, including measurements of packet delivery ratio, throughput, packet drop rate, delay, and malicious node prediction accuracy. The findings indicate that in decentralized wireless environments, HBbGBBTMN significantly enhances network efficiency, security, and dependability.
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