Coverage for robotics – A survey of recent results
Annals of Mathematics and Artificial Intelligence
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Uncertainty-aware and coverage-oriented deployment for sensor networks
Journal of Parallel and Distributed Computing
Visibility and its dynamics in a PDE based implicit framework
Journal of Computational Physics
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
A variational approach to path planning in three dimensions using level set methods
Journal of Computational Physics
Node Placement for Optimal Coverage in Sensor Networks
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
The coverage problem in a wireless sensor network
Mobile Networks and Applications
Sensor-based coverage with extended range detectors
IEEE Transactions on Robotics
IEEE Communications Magazine
A unified approach for heterogeneity and node fault robustness in dynamic sensor networks
WSEAS TRANSACTIONS on COMMUNICATIONS
Accident analysis of a surveillance camera system through a frequency-based processing
WSEAS Transactions on Circuits and Systems
Redundant coverage for noise reduction in dynamic sensor networks
WSEAS TRANSACTIONS on SYSTEMS
A decentralized protocol for wireless communication in mobile sensor networks
ICCOM Proceedings of the 13th WSEAS international conference on Communications
WSEAS TRANSACTIONS on COMMUNICATIONS
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The paper deals with the problem of computing optimal or suboptimal motion for a network of mobile sensors. The use of moving sensors means that for each point of the field under measurement asynchronous discrete time measures are given instead of continuous time ones, being possible to fix in advance the maximum time interval between two consecutive measures for the same point. The constraints here considered are on the full coverage of the field, with respect to the measurements, within the prefixed time interval and on the communication connections, between any pair of moving sensors, at any time. A solution, based on a local distributed approach, is proposed and compared with a centralized approach previously proposed, and here recalled, by the same authors. Some simulations show the effectiveness of the both solutions, putting in evidence advantages, disadvantages and differences.