Aminur Rahman
Papers
1
Total Citations
7
H-Index
1
About
Aminur Rahman is a researcher whose work focuses on energy-efficient communication protocols for wireless sensor and robot networks (WSRNs), with a particular emphasis on clustering algorithms and network longevity. His most cited contribution, "Centroidal Voronoi Tessellation Based Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor and Robot Networks" (2014), introduces a novel two-phase clustering approach that optimally partitions a region of interest while balancing energy consumption and maintaining connectivity among heterogeneous nodes. By leveraging centroidal Voronoi tessellation, Rahman’s protocol addresses critical challenges in WSRN design—namely, extending network lifetime and ensuring reliable data transmission in dynamic environments. With 7 citations, this work has provided a foundational framework for subsequent studies on energy-aware clustering in mixed sensor-robot systems. Rahman’s research is particularly relevant for applications in environmental monitoring, disaster response, and industrial automation, where efficient resource management is paramount. His contributions underscore the importance of geometric optimization in wireless network protocols, offering practical solutions for scalable and resilient communication in heterogeneous networks.
Research Focus
Key Achievements
Top Papers
- 1