Applying swarm intelligence to sensor and actuator networks, especially using threshold-based algorithms and other swarm-intelligent methods for distributed control. Of primary interest is the measuring/monitoring of spatially and temporally localized phenomena.
Past and ongoing areas of investigation include:
Multi-level modeling of wireless sensor & actuator networks.
Distributed monitoring of spatio-temporally unpredictable ephemeral events (i.e., acoustics).
Mobility in sensor & actuator networks; robotic sensor networks.
Resource allocation and power management in wireless sensor networks.
Threshold-based & market-based algorithms.
Automatic/adaptive deployment & re-configuration of robotic sensor networks.
Environmental monitoring and modeling using wireless sensor networks.
Swarm Intelligence, Sections IC & STI (2004-2007)
SWIS-IP5: Simulation of Acoustic Propagation & Radio Communication in Webots
Informatique I & II, Sections GM & EL (2006)
SWIS-SP6: Low Power Sensor Network for Collective Vision
SWIS-SP7: Low Power Sensor Network for Collective Hearing
SWIS-SP9: Ant-based Routing in Wireless Sensor Networks
SWIS-SP17: Simulated Realistic Communication Devices in Webots
TAYLOR-SWIS-MP2: A Framework for Bird Song Detection, Recognition, and Localization using Acoustic Sensor Networks
SWIS-SU7: Power Aware Control of an Environmental Sensor Network
Publications
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2013
Self-Organized Robotic Systems: Large-Scale Experiments in Aggregation and Self-Assembly using Miniature Robots
2007.International Conference on Robot Communication and Coordination (ROBOCOMM), Athens, Greece, October 15-17, 2007. p. 1-8. DOI : 10.4108/ICST.ROBOCOMM2007.2275.
2006.IEEE/RSJ International Conference on Intelligent Robots and Systems Workshop on Network Robot System: Toward intelligent robotic systems integrated with environments, Beijing, China, October, 10.
