K. Sreenivasulu

Papers

Total Citations

H-Index

About

K. Sreenivasulu is a researcher whose work sits at the intersection of wireless sensor networks, the Internet of Things (IoT), and artificial intelligence-driven cybersecurity. His most cited contribution, the "Bug2 algorithm-based data fusion using mobile element for IoT-enabled wireless sensor networks" (2022, 31 citations), addresses the critical "hotspot problem" in data gathering. By introducing a mobile element that intelligently traverses the network, his work mitigates node isolation and improves data collection efficiency—a practical solution for resource-constrained IoT environments. Sreenivasulu also explores AI-enhanced security in "Cyber Threat Security System Using Artificial Intelligence for Android-Operated Mobile Devices" (2022, 5 citations), reflecting a growing interest in protecting mobile platforms from evolving cyber threats. His research demonstrates a clear focus on solving real-world challenges in network performance and security, with his most cited paper gaining traction among peers working on mobile data collection strategies. For students and researchers, Sreenivasulu’s work offers a compelling example of how algorithmic innovation can directly improve the reliability and longevity of wireless sensor systems.