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2018 | OriginalPaper | Buchkapitel

Swarm Search of Expanding Regions in Grids: Upper Bounds

verfasst von : Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein

Erschienen in: Swarms and Network Intelligence in Search

Verlag: Springer International Publishing

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Abstract

In this chapter we examine the dynamic generalization of the Cooperative Cleaners problem presented in Altshuler et al., Swarm intelligent systems (2006), [10] and in the previous chapters of this book, involving a swarm of collaborative drones that are required to search a dynamically expanding region on the \( \mathbf{Z}^{2}\) grid (whose “pixels” that were visited by the drones can become “un-searched” after a certain period of time). The goal of the swarm’s members is to “clean” the spreading contamination in as little time as possible. In this work we present a collaborative swarm search algorithm, as well as several upper bounds on the completion time it takes a swarm of k drones, of various velocities.

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Fußnoten
1
This is a simple consequence of the “rotation index” Theorem (see e.g. [21] p. 396): If \(\alpha : [0,1] \rightarrow R^{2}\) is a plane, regular, simple, closed curve, then \(\int _{0}^{1}k(s)ds = 2 \pi \), where k(s) is the curvature of \(\alpha (s)\) and the curve is traversed in the positive direction.
 
2
The existence of a non-critical point is guaranteed since \(\partial F_{t}\) is a connected graph and thus has a spanning tree, in which at least two tiles has a degree of 1, which makes them non-critical tiles.
 
3
The integral was produced using MATLAB [38].
 
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Metadaten
Titel
Swarm Search of Expanding Regions in Grids: Upper Bounds
verfasst von
Yaniv Altshuler
Alex Pentland
Alfred M. Bruckstein
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-63604-7_4