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Coverage control for mobile sensing networks

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TLDR
This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.
Abstract
This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

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Citations
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Book ChapterDOI

Cellular automaton based motion planning algorithms for mobile sensor networks

TL;DR: A set of probabilistic and deterministic cellular automaton based algorithms for an optimization problem of mobile wireless sensor networks (MWSN) where the sensors are initially randomly distributed and the mobile sensors need to disperse autonomously to both maximize coverage of the network and to maintain connectivity.
Proceedings ArticleDOI

Area-constrained coverage optimization by robotic sensor networks

TL;DR: This paper designs the ¿move-to-center-and-compute-weight¿ coordination algorithm that steers the robotic network towards the set of center generalized Voronoi configurations while monotonically optimizing coverage.
Journal ArticleDOI

Communication-Free Distributed Coverage for Networked Systems

TL;DR: In this article, a communication-free algorithm for distributed coverage of an arbitrary network by a group of mobile agents with local sensing capabilities is presented, where the network is represented as a graph, and the agents are arbitrarily deployed on some nodes of the graph.
Proceedings ArticleDOI

Information Based Distributed Control for Biochemical Source Detection and Localization

TL;DR: It is shown that the DOG algorithm can be turned into a distributed control scheme for a mobile sensing network, and that the maximum likelihood estimation proposed in the original algorithms can be replaced with more computationally efficient numerical procedures.
Proceedings ArticleDOI

Communication-aware surveillance in mobile sensor networks

TL;DR: A mathematical framework for robust communication-aware surveillance, in order to survey the environment efficiently while maximizing the probability of connectivity of the nodes to the base station at all the time, is developed.
References
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A robust layered control system for a mobile robot

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