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
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Visibility and its dynamics in a PDE based implicit framework
Journal of Computational Physics
A variational approach to path planning in three dimensions using level set methods
Journal of Computational Physics
Node fault robustness for heterogeneous dynamic sensor networks
IMACS'08 Proceedings of the 7th WSEAS International Conference on Instrumentation, Measurement, Circuits and Systems
Energy balancing by combinatorial optimization for wireless sensor networks
WSEAS TRANSACTIONS on COMMUNICATIONS
Mobile sensors networks under communication constraints
WSEAS TRANSACTIONS on SYSTEMS
WSEAS Transactions on Systems and Control
Measurement noise reduction in dynamic sensor networks
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Energy-efficient coverage problems in wireless ad-hoc sensor networks
Computer Communications
Sensor-based coverage with extended range detectors
IEEE Transactions on Robotics
Coverage in wireless ad hoc sensor networks
IEEE Transactions on Computers
Implementing time series identification methodology using wireless sensor networks
WSEAS Transactions on Computers
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The paper deals with the problem of computing trajectories for a network of mobile sensors in order to maximize coverage within a fixed time interval avoiding collisions and maintaining communication network connectivity. A formulation of the field coverage problem is given in terms of optimal control and it is shown how the problem of a redundant coverage, useful for simultaneous multiple measurements and then noise reduction, can be handled within the same formulation. The redundancy is formally faced in terms of K-coverage, such that covering each point of the workspace with at least K different sensors. Global centralized solutions are computed after discretization and simulation results are reported to show the effects of the proposed approach.