Autonomic Workflow Management in the Grid
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Data-logging and supervisory control in wireless sensor networks
International Journal of Sensor Networks
Deployment algorithms and indoor experimental vehicles for studying mobile wireless sensor networks
International Journal of Sensor Networks
Matrix-Based Discrete Event Control for Surveillance Mobile Robotics
Journal of Intelligent and Robotic Systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Spatial correlation and mobility aware traffic modeling for wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Probabilistic track coverage in cooperative sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Autonomous Agents and Multi-Agent Systems
Spatial correlation and mobility-aware traffic modeling for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Testbeds for ubiquitous robotics: A survey
Robotics and Autonomous Systems
Hi-index | 0.00 |
This paper uses a novel discrete-event controller (DEC) for the coordination of cooperating heterogeneous wireless sensor networks (WSNs) containing both unattended ground sensors (UGSs) and mobile sensor robots. The DEC sequences the most suitable tasks for each agent and assigns sensor resources according to the current perception of the environment. A matrix formulation makes this DEC particularly useful for WSN, where missions change and sensor agents may be added or may fail. WSN have peculiarities that complicate their supervisory control. Therefore, this paper introduces several new tools for DEC design and operation, including methods for generating the required supervisory matrices based on mission planning, methods for modifying the matrices in the event of failed nodes, or nodes entering the network, and a novel dynamic priority assignment weighting approach for selecting the most appropriate and useful sensors for a given mission task. The resulting DEC represents a complete dynamical description of the WSN system, which allows a fast programming of deployable WSN, a computer simulation analysis, and an efficient implementation. The DEC is actually implemented on an experimental wireless-sensor-network prototyping system. Both simulation and experimental results are presented to show the effectiveness and versatility of the developed control architecture