Papers
3
Total Citations
14
H-Index
3
About
Ines Khoufi is a researcher specializing in wireless sensor networks (WSNs), mobile robotics, and network deployment optimization. Her work sits at the intersection of autonomous systems and network engineering, focusing on how mobile robots can be leveraged to intelligently deploy static wireless sensor nodes to satisfy demanding coverage and connectivity requirements. Among her notable contributions, Khoufi has developed innovative algorithmic approaches to optimize robot trajectories during sensor node deployment, ensuring efficient network formation while minimizing travel distance and energy consumption. Her 2015 paper introducing a game theory-based framework for robot-assisted WSN deployment demonstrates her ability to apply mathematical modeling to complex, real-world deployment scenarios — an approach that earned the work six citations within the research community. She has further extended this work to multi-robot systems, addressing the scalability challenges that arise when coordinating multiple autonomous agents during simultaneous deployment operations. Though her citation counts reflect an emerging body of work, Khoufi's research addresses genuinely critical challenges in the rapidly growing fields of Internet of Things (IoT) infrastructure and autonomous robotics. Her contributions provide foundational methods that researchers and engineers can build upon when designing robust, self-organizing sensor networks for applications in environmental monitoring, surveillance, and smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1A game theory-based approach for robots deploying wireless sensor nodes6 citations · 2015
- 2Optimized trajectory of a robot deploying wireless sensor nodes4 citations · 2014
- 3Optimized trajectories of multi-robot deploying wireless sensor nodes4 citations · 2015