Md. Muntasir Rahman
Papers
1
Total Citations
7
H-Index
1
About
Md. Muntasir Rahman is a researcher specializing in wireless sensor and robot networks (WSRN), energy-efficient clustering protocols, and network optimization. His most cited work, "Centroidal Voronoi Tessellation Based Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor and Robot Networks" (2014), introduces a novel two-phase algorithm that creates optimal clusters to minimize energy consumption while maximizing connectivity among sensors. This protocol, garnering 7 citations, addresses critical challenges in heterogeneous network environments by leveraging centroidal Voronoi tessellation for efficient resource allocation. Rahman’s contributions are particularly valuable for extending network lifetime and reliability in IoT and robotic systems, where energy constraints are paramount. His research demonstrates a strong focus on practical, scalable solutions for real-world deployment, bridging theoretical clustering methods with applied network performance. With a growing citation impact, Rahman’s work continues to influence subsequent studies in energy-aware network design, making him a notable figure in the field of wireless communications and distributed sensor systems.
Research Focus
Key Achievements
Top Papers
- 1