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001444374 001__ 1444374
001444374 003__ OCoLC
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001444374 020__ $$a9789811688508$$q(electronic bk.)
001444374 020__ $$a9811688508$$q(electronic bk.)
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001444374 0247_ $$a10.1007/978-981-16-8850-8$$2doi
001444374 035__ $$aSP(OCoLC)1296530085
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001444374 08204 $$a629.133/39$$223
001444374 1001_ $$aWang, Jingjing.
001444374 24510 $$aFlying ad hoc networks :$$bcooperative networking and resource allocation /$$cJingjing Wang, Chunxiao Jiang.
001444374 260__ $$aSingapore :$$bSpringer,$$c2022.
001444374 300__ $$a1 online resource.
001444374 4901_ $$aWireless networks
001444374 504__ $$aIncludes bibliographical references.
001444374 5050_ $$aIntro -- Preface -- Contents -- Acronyms -- 1 Introduction of Flying Ad Hoc Networks -- 1.1 Basic Classification and Regulation of UAVs -- 1.2 Differences Between FANET, VANET, MANET, and AANET -- 1.3 Compelling Applications of FANET -- References -- 2 Communication Channels in FANET -- 2.1 UAV Communication Channel Characteristics -- 2.1.1 UAV Link Budget -- 2.1.2 UAV Channel Fading -- 2.1.3 Channel Impulse Response and Metrics -- 2.2 UAV Communication Channel Modeling -- 2.2.1 Air-to-Ground Channels -- 2.2.1.1 A2G Channels in Urban Areas -- 2.2.1.2 Low-Altitude Channels in Cellular Networks
001444374 5058_ $$a2.2.1.3 A2G Channels in Rural and Over-Water Areas -- 2.2.1.4 Evaporation Duct for Over Sea -- 2.2.1.5 Aircraft Shadowing in A2G Channels -- 2.2.2 Air-to-Air Channels -- 2.2.3 UAV-MIMO Channels -- 2.2.3.1 UAV-MIMO Channel Modeling -- 2.2.3.2 Antenna Diversity -- 2.2.3.3 Spatial Multiplexing -- 2.3 Challenges and Open Issues -- 2.3.1 Antennas for UAV Channel Measurement -- 2.3.2 Channels of UAV Applications in IoT and 5G -- 2.3.3 Channels in Vertical Industrial Applications -- 2.3.4 Channels of UAV FSO Communications -- References -- 3 Seamless Coverage Strategies of FANET
001444374 5058_ $$a3.1 Introduction of Seamless Coverage Problems -- 3.1.1 Problem Domain and Challenges -- 3.1.2 State of the Art -- 3.2 UAV Seamless Coverage Strategy for Dense Urban Areas -- 3.2.1 System Model -- 3.2.2 Cyclic Recharging and Reshuffling Optimization -- 3.2.2.1 UAV Power Model -- 3.2.2.2 CRRS Constraint -- 3.2.3 Problem Formulation -- 3.2.4 Distributed Particle Swarm Optimization Aided Solution -- 3.2.4.1 Analysis and Simplification -- 3.2.4.2 Distributed-PSO Algorithm Design -- 3.2.4.3 Algorithmic Convergence Analysis -- 3.2.4.4 Algorithmic Complexity Analysis -- 3.2.5 Simulation Results
001444374 5058_ $$a3.2.6 Conclusions -- 3.3 UAV Seamless Coverage Strategy for QoS-Guaranteed IoT -- 3.3.1 System Model -- 3.3.2 Problem Formulation -- 3.3.3 Block Coordinate Descent Based Joint Optimization -- 3.3.3.1 Node Assignment Scheduling -- 3.3.3.2 UAV Trajectory Planning -- 3.3.3.3 UAV Transmit Power Control -- 3.3.3.4 Algorithmic Architecture and Convergence Analysis -- 3.3.4 Simulation Results -- 3.3.4.1 Resulting Strategies -- 3.3.4.2 Energy Efficiency -- 3.3.4.3 Optimality Analysis -- 3.3.5 Conclusions -- 3.4 UAV Seamless Coverage Strategy for Minimum-Delay Placement -- 3.4.1 System Model
001444374 5058_ $$a3.4.1.1 Physical Layer Model of the UAV-Enabled Network -- 3.4.1.2 Queuing Model and System Dynamics -- 3.4.1.3 ABS Placement Scheduling -- 3.4.2 Problem Formulation -- 3.4.3 Markov Decision Process Transformation -- 3.4.3.1 Constrained Markov Decision Process -- 3.4.3.2 The Lagrangian Approach -- 3.4.4 Backward Induction and R-Learning Based Optimization -- 3.4.4.1 Solution to the Problem in Case 1 -- 3.4.4.2 Solution to the Problem in Case 2 -- 3.4.4.3 Solution to the Problem in Case 3 -- 3.4.4.4 Analysis of Computational Complexity -- 3.4.5 Simulation Results
001444374 506__ $$aAccess limited to authorized users.
001444374 520__ $$aRelying on unmanned autonomous flight control programs, unmanned aerial vehicles (UAVs) equipped with radio communication devices have been actively developed around the world. Given their low cost, flexible maneuvering and unmanned operation, UAVs have been widely used in both civilian operations and military missions, including environmental monitoring, emergency communications, express distribution, even military surveillance and attacks, for example. Given that a range of standards and protocols used in terrestrial wireless networks are not applicable to UAV networks, and that some practical constraints such as battery power and no-fly zone hinder the maneuverability capability of a single UAV, we need to explore advanced communication and networking theories and methods for the sake of supporting future ultra-reliable and low-latency applications. Typically, the full potential of UAV networks functionalities can be tapped with the aid of the cooperation of multiple drones relying on their ad hoc networking, in-network communications and coordinated control. Furthermore, some swarm intelligence models and algorithms conceived for dynamic negotiation, path programming, formation flight and task assignment of multiple cooperative drones are also beneficial in terms of extending UAVs functionalities and coverage, as well as of increasing their efficiency. We call the networking and cooperation of multiple drones as the terminology flying ad hoc network (FANET), and there indeed are numerous new challenges to be overcome before the idespread of so-called heterogeneous FANETs. In this book, we examine a range of technical issues in FANETs, from physical-layer channel modeling to MAC-layer resource allocation, while also introducing readers to UAV aided mobile edge computing techniques.
001444374 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 23, 2022).
001444374 650_0 $$aDrone aircraft$$xControl systems.
001444374 650_0 $$aVehicular ad hoc networks (Computer networks)
001444374 650_6 $$aDrones$$xSystèmes de commande.
001444374 650_6 $$aRéseaux ad hoc de véhicules.
001444374 655_0 $$aElectronic books.
001444374 7001_ $$aJiang, Chunxiao,$$d1987-$$eauthor.
001444374 77608 $$iPrint version: $$z9811688494$$z9789811688492$$w(OCoLC)1286142261
001444374 830_0 $$aWireless networks (Springer (Firm))
001444374 852__ $$bebk
001444374 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8850-8$$zOnline Access$$91397441.1
001444374 909CO $$ooai:library.usi.edu:1444374$$pGLOBAL_SET
001444374 980__ $$aBIB
001444374 980__ $$aEBOOK
001444374 982__ $$aEbook
001444374 983__ $$aOnline
001444374 994__ $$a92$$bISE