Papers

6

Total Citations

82

H-Index

5

About

Prasanna Ballal is a researcher specializing in mobile sensor networks, multi-robot systems, and discrete-event control, with foundational contributions to the coordination and supervision of heterogeneous wireless sensor networks (WSNs). Working primarily out of the Automation and Robotics Research Institute at the University of Texas at Arlington, Ballal developed innovative frameworks for managing cooperating networks of unattended ground sensors and mobile sensor robots, bridging the gap between theoretical control design and practical implementation. His most influential work, "Supervisory Control of Mobile Sensor Networks" (2006, 47 citations), introduced a novel discrete-event controller (DEC) capable of sequencing tasks and allocating sensor resources across complex, heterogeneous networks — a significant advancement in autonomous systems coordination. Complementing this, Ballal constructed a LabVIEW-based test-bed using off-the-shelf hardware, making experimental research in mobile sensor networks more accessible and reproducible. He also addressed critical challenges in multi-robot mission execution, developing matrix-based approaches for deadlock avoidance and dynamic resource assignment in systems managing multiple simultaneous missions. Collectively, his body of work — accumulating over 80 citations — has meaningfully shaped how researchers approach autonomous coordination, resource management, and control design in distributed robotic and sensor systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
82
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Supervisory control of mobile sensor networks: math formulation, simulation, and implementation
47 citations · 2006
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: The University of Texas at Arlington, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago