Education and Qualification:
Ph.D. Department of Computer Science & Engineering, Malaviya National Institute of Technology (MNIT) Jaipur, (2024).
Thesis Title: Adaptive Controller Selection and Mobility Management in SDWSN
Supervisor: Dr. Arka Prokash Mazumdar
Thesis Summary: This work primarily focuses on addressing the inherent complexities in Software-Defined Wireless Sensor Networks (SDWSNs). The work proposes innovative approaches like the C3HAC algorithm for clustering, PSO-CPR for optimal controller placement, and MM-DCPR for efficient routing with dual controllers. These methods enhance network performance by reducing latency, improving energy efficiency, and ensuring resilience. Furthermore, the SD-MoMa framework is introduced for mobility management in Mobile Wireless Sensor Networks (MWSNs), employing AI-assisted mobility predictions to optimize network performance. Overall, this thesis provides a comprehensive framework for improving the efficiency, scalability, and resilience of SDWSNs, offering practical solutions for diverse real-world applications such as smart cities, environmental monitoring, and IoT-based systems.
M.Tech. Department of Information Technology, Atal Bihari Vajpayee - Indian Institute of Information Technology and Management (ABV-IIITM) Gwalior, (2018).
Thesis Title: Energy Efficient Routing Mechanism based on Overlapping FSS in WSN
Supervisor: Prof. Kiran Kumar Pattanaik
Thesis Summary: This thesis presents a mathematical model and algorithms designed to enhance the Forwarder Selection Scheme (FSS) in Wireless Sensor Networks (WSNs), with significant real-world applications in fields such as environmental monitoring, smart agriculture, and industrial automation. By addressing the limitations of existing algorithms, particularly the PBR algorithm, the proposed approach enhances network lifetime and reduces unnecessary message transmissions. Overall, the thesis significantly enhances WSN technologies, providing energy-efficient solutions for real-world applications like environmental monitoring and industrial automation.
B.E. Department of Information Technology, Government Engineering College (GEC) Jabalpur, (2015).
