Coverage control for mobile sensing networks

By Jorge Cortés, Sonia Martínez, Timur Karatas, Francesco Bullo. 2002

202 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

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In Computer Networks and Communications

Citations in the corpus

An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, background): “Let Q be a convex space withφ represent the distribution density function which indicat es the probability that some event takes place over Q [247].”
Notes on averaging over acyclic digraphs and discrete coverage control (2006, methodology): “…the multi-center function H reads, for P 6∈ S coinc , where mass and the centroid of W ⊂ Q are Additionally, the critical points P ∗ of H have the property that p ∗ i = C V i ( P ∗ ) , for i ∈ { 1 , . . . , n } ; accordingly, they are called (Cort´es et al., 2004) centroidal Voronoi conﬁgurations .”
Coordination and Geometric Optimization via Distributed Dynamical Systems (2003, background): “Note that G i ( P ) = lg V i ( P ) ( p i ) and F i ( P ) = sm V i ( P ) ( p i ), where, for i ∈ { 1 , . . . , n } , Proposition 3.3 provides an explicit expression for the generalized gradients of lg V i and sm V i when the Voronoi cell V i is held ﬁxed.”
Robot coverage control by evolved neuromodulation (2013, background): “Optimal control for multirobot coverage problems in mobile sensing networks has been explored analytically [8].”
Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments (2010, methodology): “INTRODUCTION Coordination of mobile autonomous agents and distributed m obile sensor networks have increasingly drawn the attention of engineers and scientists [1], [2], [3], [4], [5 ], [6], [7].”
Unicycle Coverage Control Via Hybrid Modeling (2010, methodology): “We now compute the derivative, see [9].”
Consensus and Cooperation in Networked Multi-Agent Systems (2007, background): “In this section, we provide an account of the existing connections.”
Control and Communication Challenges in Networked Real-Time Systems (2007, background): “In [31], the problem of distributed sensing for robotic agents acting as mobile tunable sensors”
Convergence of the Lloyd Algorithm for Computing Centroidal Voronoi Tessellations (2006, background): “CVTs are indeed special as they enjoy very natural optimization properties which make them very popular in diverse scientific and engineering applications that range from art design, astronomy, clustering, geometric modeling, image and data analysis, resource optimization, quadrature design, sensor ”
Coverage control for mobile sensing networks (2002, background): “or example in [24], [25]. It is only recently, however, that truly distributed coordination laws for dynamic networks are being proposed; e.g., see [26], [27] and the conference versions of this work [28], [29]. Heuristic approaches to the design of interaction rules and emerging behaviors have been”