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Cloud-Supported Coverage Control for Persistent Surveillance Missions
Author(s) -
Jeffrey R. Peters,
Sean J. Wang,
Amit Surana,
Francesco Bullo
Publication year - 2017
Publication title -
journal of dynamic systems measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 89
eISSN - 1528-9028
pISSN - 0022-0434
DOI - 10.1115/1.4035874
Subject(s) - computer science , cloud computing , scheme (mathematics) , asynchronous communication , modular design , distributed computing , event (particle physics) , real time computing , computer network , mathematics , operating system , mathematical analysis , physics , quantum mechanics
A cloud-supported coverage control scheme is proposed for multi-agent, persistent surveillance missions. This approach decouples assignment from motion planning operations in a modular framework. Coverage assignments and surveillance parameters are managed on the cloud, and transmitted to mobile agents via unplanned and asynchronous exchanges. These updates promote load-balancing, while also allowing effective pairing with typical path planners. Namely, when paired with a planner satisfying mild assumptions, the scheme ensures that (i) coverage regions remain connected and collectively cover the environment, (ii) regions may go uncovered only over bounded intervals, (iii) collisions (sensing overlaps) are avoided, and (iv) for time-invariant event likelihoods, a Pareto optimal configuration is produced in finite time. The scheme is illustrated in simulated missions.

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