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020 _a9789811912924
024 7 _a10.1007/978-981-19-1292-4
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTL685.35
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
090 _aTL685.35EBK
245 1 0 _aIntelligent Unmanned Air Vehicles Communications for Public Safety Networks
_h[electronic resource] /
_cedited by Zeeshan Kaleem, Ishtiaq Ahmad, Trung Quang Duong.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnmanned System Technologies,
_x2523-3742
505 0 _aIntelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions -- UAV Placement and Resource Management in Public Safety Networks: An Overview -- 3D Unmanned Aerial Vehicle Placement for Public Safety Communications -- Power-Efficient UAV Placement in Relay Assisted Heterogeneous Public Safety Networks -- Location Prediction and Trajectory Optimization in Multi-UAV Application Missions -- UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks -- Enhancing UAV-based Public Safety Networks with Reconfigurable Intelligent Surfaces -- UAVs Path Planning by Particle Swarm Optimization based on Visual-SLAM Algorithm -- UAV-assisted Cooperative Routing Scheme for Dense Vehicular Ad hoc Network.
520 _aThis book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems. The topics covered in this book will be of interest to both the professionals and students. 3D UAV placements schemes, trajectory design, interference management schemes, reinforcement learning solutions for more intelligent and trained solutions, joint UAV trajectory and RIS's passive beamforming design, and various other related topics of readers' interest are presented in detail.
650 0 _aTelecommunication.
650 0 _aVehicles.
650 0 _aArtificial intelligence.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aVehicle Engineering.
650 2 4 _aArtificial Intelligence.
653 0 _aDrone aircraft
653 0 _aPublic safety -- Information technology
700 1 _aKaleem, Zeeshan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAhmad, Ishtiaq.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDuong, Trung Quang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aUnmanned System Technologies,
_x2523-3742
856 4 0 _uhttps://doi.org/10.1007/978-981-19-1292-4
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK