Salar Rahili

University of California, Riverside

Papers

1

Total Citations

39

H-Index

1

About

Salar Rahili is a researcher whose work lies at the intersection of distributed control systems, multi-agent networks, and game-theoretic optimization. His most cited paper, "Distributed Coverage Control of Mobile Sensor Networks in Unknown Environment Using Game Theory: Algorithms and Experiments" (2017, 39 citations), introduces a novel framework for deploying mobile sensor networks (MSNs) in unknown environments. In this work, Rahili addresses the critical challenge of coverage control—where agents with limited communication, sensing, and energy resources must autonomously coordinate to maximize task efficiency. By leveraging game theory, he develops distributed algorithms that enable each agent to make local decisions, achieving global coverage without centralized oversight. This contribution is significant for real-world applications such as environmental monitoring, search-and-rescue, and surveillance. The paper’s experimental validation underscores its practical relevance, bridging theory and deployment. Rahili’s research has garnered attention for its elegant synthesis of control theory and game-theoretic principles, offering scalable solutions for resource-constrained multi-robot systems. His work continues to inspire advances in autonomous coordination, making him a notable figure in the fields of robotics and networked control systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
39
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Distributed Coverage Control of Mobile Sensor Networks in Unknown Environment Using Game Theory: Algorithms and Experiments
39 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Riverside

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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