LEADER 03869nam 22005775 450 001 9910299882803321 005 20200704122515.0 010 $a3-319-63604-9 024 7 $a10.1007/978-3-319-63604-7 035 $a(CKB)3710000001631000 035 $a(DE-He213)978-3-319-63604-7 035 $a(MiAaPQ)EBC6281576 035 $a(MiAaPQ)EBC5596169 035 $a(Au-PeEL)EBL5596169 035 $a(OCoLC)1076235466 035 $a(PPN)203850599 035 $a(EXLCZ)993710000001631000 100 $a20170803d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSwarms and Network Intelligence in Search /$fby Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (IX, 238 p. 116 illus., 53 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v729 311 $a3-319-63602-2 327 $aIntroduction to Swarm Search -- Cooperative ?Swarm Cleaning? of Stationary Domains -- Swarm Search of Expanding Regions in Grids: Lower Bounds -- Swarm Search of Expanding Regions in Grids: Upper Bounds -- The Search Complexity of Collaborative Swarms Expanding Z2 Grid Regions. 330 $aThis book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined ?search regions?. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems? various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones? flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones. . 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v729 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3824 700 $aAltshuler$b Yaniv$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060887 702 $aPentland$b Alex$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBruckstein$b Alfred M$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299882803321 996 $aSwarms and Network Intelligence in Search$92516050 997 $aUNINA