Abu Sufian

University of Gour Banga, North South University

Papers

Total Citations

H-Index

About

Abu Sufian is a researcher whose work sits at the intersection of intelligent networking, swarm robotics, and disaster management. His primary contributions lie in enhancing the efficiency and adaptability of Software-Defined Wireless Sensor Networks (SD-WSNs), particularly in dynamic environments with moving sensors. In his most cited work, "Reinforcement Learning Based Transmission Range Control (RL-TRC) in SD-WSN with Moving Sensors," Sufian introduces a novel approach that leverages reinforcement learning to dynamically optimize transmission ranges, significantly improving routing performance in mobile sensor networks. This work, with 4 citations, addresses a critical challenge in network longevity and data delivery. Beyond networking, Sufian has made notable contributions to disaster response technology. His paper "Design, control & performance analysis of forecast junction IoT and swarm robotics based system for natural disaster monitoring" proposes an integrated system combining IoT, web platforms, and swarm robotics for real-time climate hazard monitoring and mitigation. This interdisciplinary approach, garnering 3 citations, demonstrates his ability to bridge theoretical network optimization with practical, life-saving applications. Sufian’s research is characterized by its forward-looking integration of machine learning and autonomous systems, positioning him as a contributor to the future of resilient, intelligent infrastructure.