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Swarms and network intelligence in s...

Altshuler, Yaniv.

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Swarms and network intelligence in search

Record Type:	Electronic resources : Monograph/item
Title/Author:	Swarms and network intelligence in search/ by Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein.
Author:	Altshuler, Yaniv.
other author:	Pentland, Alex.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	ix, 238 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Swarm intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-63604-7
ISBN:	9783319636047

Swarms and network intelligence in search
Altshuler, Yaniv.

Swarms and network intelligence in search[electronic resource] /by Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein. - Cham :Springer International Publishing :2018. - ix, 238 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7291860-949X ;. - Studies in computational intelligence ;v.729..

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.

ISBN: 9783319636047

Standard No.: 10.1007/978-3-319-63604-7doiSubjects--Topical Terms:

577800
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

Swarms and network intelligence in search
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100 1 $a Altshuler, Yaniv. $3 3295953
245 1 0 $a Swarms and network intelligence in search $h [electronic resource] / $c by Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a ix, 238 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.729
520 $a This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.
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650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Pentland, Alex. $3 3295954
700 1 $a Bruckstein, Alfred M. $3 1567542
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.729. $3 3295955
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