Shafagh Alikhani
Papers
1
Total Citations
6
H-Index
1
About
Shafagh Alikhani is a researcher whose work lies at the intersection of mobile computing, localization algorithms, and wireless sensor networks. Her most-cited paper, "iCCA-MAP Versus MCL and Dual MCL: Comparison of Mobile Node Localization Algorithms" (2010), has garnered 6 citations, establishing her as a contributor to the comparative analysis of localization techniques. In this work, Alikhani systematically evaluates the performance of iCCA-MAP against Monte Carlo-based methods (MCL and Dual MCL), offering critical insights into accuracy, computational efficiency, and scalability for mobile node tracking. Her research addresses fundamental challenges in dynamic environments, where precise location estimation is essential for applications ranging from autonomous navigation to pervasive computing. By benchmarking these algorithms, she has helped clarify trade-offs that guide practitioners in selecting appropriate localization strategies. Alikhani’s contributions are particularly valuable for students and researchers exploring sensor network localization, as her comparative framework provides a clear foundation for understanding algorithm strengths and limitations. Her work underscores the importance of rigorous evaluation in advancing mobile computing technologies.
Research Focus
Key Achievements
Top Papers
- 1