Muhammad Naserllah

Jordan University of Science and Technology

Papers

Total Citations

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About

Muhammad Naserllah is a researcher specializing in wireless networks, robotics, and sensor systems, with particular expertise in autonomous mobile robots, indoor localization, and wireless sensor network optimization. His work sits at the intersection of robotics and network engineering, addressing real-world challenges in wireless infrastructure security and coverage efficiency. Naserllah's most impactful contribution is his research on collaborative indoor access point localization using mobile robot swarms, which has garnered 21 citations since its publication in 2018. This work tackles the critical problem of detecting rogue access points and optimizing wireless coverage — challenges with significant cybersecurity and network management implications. Complementing this, his earlier 2017 paper on access point localization using autonomous mobile robots laid foundational groundwork for this swarm-based approach, accumulating 8 citations. Beyond localization, Naserllah has contributed meaningfully to wireless sensor network coverage optimization, proposing a fuzzy logic-based control system for mobile node movement in large-scale sparse networks, earning 10 citations. This work demonstrates his versatility in applying intelligent control techniques to network challenges. Across his research portfolio, Naserllah has established himself as a thoughtful contributor bridging autonomous robotics with practical wireless network solutions.