國立高雄大學圖資館 |

Language: English

Back

Unmanned aerial vehicles swarm for p...

Arshi, Oroos.

Unmanned aerial vehicles swarm for protecting smart citiesfuture trends and challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unmanned aerial vehicles swarm for protecting smart citiesedited by Oroos Arshi ... [et al.].
Reminder of title:	future trends and challenges /
other author:	Arshi, Oroos.
Published:	Berkeley, CA :Apress :2025.
Description:	xlvi, 821 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Drone aircraft.
Online resource:	https://doi.org/10.1007/979-8-8688-1047-3
ISBN:	9798868810473$q(electronic bk.)

Unmanned aerial vehicles swarm for protecting smart citiesfuture trends and challenges /
Unmanned aerial vehicles swarm for protecting smart citiesfuture trends and challenges /[electronic resource] :edited by Oroos Arshi ... [et al.]. - Berkeley, CA :Apress :2025. - xlvi, 821 p. :ill., digital ;24 cm.

Chapter 1: Introduction to UAV Swarms and Smart Cities -- Chapter 2: Fundamentals of UAV Swarms -- Chapter 3: Smart Cities: Concepts and Technologies -- Chapter 4: Cloud Computing for UAV Swarms -- Chapter 5: Cybersecurity in UAV Swarm Operations -- Chapter 6: Machine Learning Applications in UAV Swarms -- Chapter 7: Surveillance and Monitoring in Smart Cities -- Chapter 8: Urban Planning and Infrastructure Management -- Chapter 9: Public Perception and Acceptance -- Chapter 10: Infrastructure Resilience and Disaster Management -- Chapter 11: International Perspectives on UAV Swarms -- Chapter 12: Real-world Deployments of UAV Swarms -- Chapter 13: Integration of IoT Devices with UAV Swarms -- Chapter 14: Smart Infrastructure for IoT and UAV Swarms -- Chapter 15: Economic Analysis of IoT and UAV Swarm Integration -- Chapter 16: Edge Computing for UAV Swarm Operations -- Chapter 17: Blockchain Applications in UAV Swarm Security -- Chapter 18: 5G Integration for Enhanced UAV Swarm Connectivity -- Chapter 19: Augmented Reality (AR) and Virtual Reality (VR) for UAV Swarm Visualization -- Chapter 20: Innovations and Future Directions in UAV Swarm for Protecting Smart Cities.

Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments. The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.

ISBN: 9798868810473$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-1047-3doiSubjects--Topical Terms:

337979
Drone aircraft.

LC Class. No.: TD159.4

Dewey Class. No.: 307.1416

Unmanned aerial vehicles swarm for protecting smart citiesfuture trends and challenges /
LDR:04107nmm a2200349 a 4500 001 680582
003 DE-He213
005 20250228120746.0
006 m d
007 cr nn 008maaau
008 251110s2025 cau s 0 eng d
020 $a 9798868810473$q(electronic bk.)
020 $a 9798868810466$q(paper)
024 7 $a 10.1007/979-8-8688-1047-3 $2 doi
035 $a 979-8-8688-1047-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TD159.4
072 7 $a TJFM1 $2 bicssc
072 7 $a UYQ $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
072 7 $a UYQ $2 thema
082 0 4 $a 307.1416 $2 23
090 $a TD159.4 $b .U58 2025
245 0 0 $a Unmanned aerial vehicles swarm for protecting smart cities $h [electronic resource] : $b future trends and challenges / $c edited by Oroos Arshi ... [et al.].
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xlvi, 821 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction to UAV Swarms and Smart Cities -- Chapter 2: Fundamentals of UAV Swarms -- Chapter 3: Smart Cities: Concepts and Technologies -- Chapter 4: Cloud Computing for UAV Swarms -- Chapter 5: Cybersecurity in UAV Swarm Operations -- Chapter 6: Machine Learning Applications in UAV Swarms -- Chapter 7: Surveillance and Monitoring in Smart Cities -- Chapter 8: Urban Planning and Infrastructure Management -- Chapter 9: Public Perception and Acceptance -- Chapter 10: Infrastructure Resilience and Disaster Management -- Chapter 11: International Perspectives on UAV Swarms -- Chapter 12: Real-world Deployments of UAV Swarms -- Chapter 13: Integration of IoT Devices with UAV Swarms -- Chapter 14: Smart Infrastructure for IoT and UAV Swarms -- Chapter 15: Economic Analysis of IoT and UAV Swarm Integration -- Chapter 16: Edge Computing for UAV Swarm Operations -- Chapter 17: Blockchain Applications in UAV Swarm Security -- Chapter 18: 5G Integration for Enhanced UAV Swarm Connectivity -- Chapter 19: Augmented Reality (AR) and Virtual Reality (VR) for UAV Swarm Visualization -- Chapter 20: Innovations and Future Directions in UAV Swarm for Protecting Smart Cities.
520 $a Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments. The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.
650 0 $a Drone aircraft. $3 337979
650 0 $a Smart cities $x Security measures. $3 925083
650 1 4 $a Robotics. $3 181952
650 2 4 $a Cloud Computing. $3 777671
650 2 4 $a Internet of Things. $3 913131
700 1 $a Arshi, Oroos. $3 993321
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1047-3
950 $a Professional and Applied Computing (SpringerNature-12059)