Sowjanya Ramisetty
Papers
1
Total Citations
4
H-Index
1
About
Dr. Sowjanya Ramisetty is a researcher whose work centers on advancing energy-efficient communication protocols for Wireless Sensor Networks (WSNs), with a particular focus on reducing data collisions and managing network traffic in smart spaces, environmental monitoring, and medical systems. Her most cited paper, “SC-MCHMP: Score-Based Cluster Level Hybrid Multi-Channel MAC Protocol for Wireless Sensor Network” (2022), introduces a novel hybrid multi-channel approach that intelligently clusters sensor nodes to minimize transmission collisions and conserve energy—a critical challenge in WSN longevity. By employing a score-based mechanism for cluster-level channel assignment, her protocol significantly enhances network throughput while reducing power consumption. Though her citation count is currently modest (4 citations for this key work), her contribution addresses a fundamental bottleneck in WSN design: balancing data reliability with energy efficiency. Dr. Ramisetty’s research is particularly relevant for applications requiring prolonged, autonomous sensor operation, such as robotic studies and smart infrastructure. Her work represents a thoughtful step forward in hybrid MAC protocol design, offering a scalable solution for the growing demands of IoT and pervasive computing environments.
Research Focus
Key Achievements
Top Papers
- 1