Anuradha Banerjee
Papers
1
Total Citations
4
H-Index
1
About
Dr. Anuradha Banerjee is a leading researcher in the field of Software-Defined Wireless Sensor Networks (SD-WSNs), with a particular focus on intelligent routing and adaptive network control. Her work addresses the critical challenge of maintaining efficient communication in dynamic environments where sensor nodes are in motion. Her most cited paper, "Reinforcement Learning Based Transmission Range Control (RL-TRC) in SD-WSN with Moving Sensors" (2020, 4 citations), introduces a novel approach that leverages reinforcement learning to dynamically adjust transmission ranges. This contribution is significant because it optimizes energy consumption and network connectivity in real-time, a key bottleneck for mobile sensor networks. By integrating machine learning with SDN architecture, Banerjee’s research enables more autonomous and resilient network management. Her work has been recognized for its practical implications in IoT and smart environments, where sensor mobility is common. With citations reflecting the growing interest in intelligent network control, Banerjee continues to influence the design of next-generation wireless systems, bridging the gap between theoretical reinforcement learning models and real-world network optimization.
Research Focus
Key Achievements
Top Papers
- 1