Nida Siddiqui

Papers

Total Citations

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About

Dr. Nida Siddiqui is a leading researcher in applied graph theory and its intersection with wireless sensor networks (WSNs) and the Internet of Things (IoT). Her most-cited work, "Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT" (2021), tackles a fundamental challenge in IoT: efficient robot navigation within large-scale sensor networks. By introducing and solving the edge metric dimension problem for honeycomb and hexagonal topologies, she provided a rigorous mathematical framework that minimizes the number of landmark nodes required for unambiguous robot localization. This contribution has direct implications for optimizing network coverage, reducing energy consumption, and enhancing real-time monitoring in smart environments. With 12 citations on this single paper, her work is gaining traction among researchers seeking to bridge theoretical graph parameters with practical IoT deployments. Dr. Siddiqui’s research not only advances the theoretical understanding of metric dimensions in complex networks but also offers actionable solutions for scalable, autonomous systems. Her work stands as a vital reference for students and engineers designing next-generation IoT architectures where precise, low-cost navigation is critical.