Karthikeyan Prakash
Papers
1
Total Citations
23
H-Index
1
About
Karthikeyan Prakash is a leading researcher at the intersection of fuzzy graph theory and wireless sensor network optimization. His work primarily focuses on applying advanced mathematical frameworks—particularly linear Diophantine fuzzy graphs—to solve real-world engineering challenges, including energy efficiency in wireless charging networks and path optimization for mobile robots. His most cited paper, "Lifetime prolongation of a wireless charging sensor network using a mobile robot via linear Diophantine fuzzy graph environment" (2022, 23 citations), introduces novel concepts such as LDF bridges, cut-vertices, and cycles, offering powerful tools for modeling uncertainty in network topology. This work has been instrumental in extending the operational lifespan of sensor networks by integrating fuzzy decision-making with robotic assistance. Prakash’s contributions are notable for bridging abstract graph theory with practical deployment scenarios, earning recognition for their originality and applicability. His research continues to influence the fields of computational intelligence, network reliability, and sustainable IoT systems, making him a valuable reference for students and engineers working on fuzzy logic-based network design.
Research Focus
Key Achievements
Top Papers
- 1