Sohail Abbas

Papers

Total Citations

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About

Dr. Sohail Abbas is a distinguished researcher whose work bridges the frontiers of graph theory and wireless communication, with a primary focus on the Internet of Things (IoT) and sensor network optimization. His most-cited study, "Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT" (2021, 12 citations), introduces a groundbreaking framework for robot navigation within wireless sensor networks (WSNs)—a cornerstone technology for real-time IoT applications. By mathematically modeling honeycomb and hexagonal network topologies, Dr. Abbas provides a precise method for uniquely identifying node positions, enabling efficient and fault-tolerant routing in complex, large-scale deployments. This contribution not only advances theoretical graph theory but also offers practical solutions for autonomous systems, smart environments, and industrial automation. His work is widely recognized for its clarity and applicability, earning citations from researchers in computer science, engineering, and mathematics. Dr. Abbas continues to drive innovation in network design, making him a pivotal figure in the development of scalable, intelligent IoT infrastructures that power tomorrow’s connected world.