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020 _a9789811688508
024 7 _a10.1007/978-981-16-8850-8
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTL589.4
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
090 _aTL589.4EBK
100 1 _aWang, Jingjing.
_eauthor.
_0(orcid)0000-0003-3170-8952
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFlying Ad Hoc Networks
_h[electronic resource] :
_bCooperative Networking and Resource Allocation /
_cby Jingjing Wang, Chunxiao Jiang.
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 _aWireless Networks,
_x2366-1445
505 0 _aChapter 1. Introduction of Flying Ad Hoc Networks -- Chapter 2. Communication Channels in FANET -- Chapter 3. Seamless Coverage Strategies of FANET -- Chapter 4. Cooperative Resource Allocation in FANET -- Chapter 5. Mobile Edge Computing in FANET.
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 network’s 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 UAV’s 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.
650 0 _aTelecommunication.
650 0 _aWireless communication systems.
650 0 _aMobile communication systems.
650 0 _aInternet of things.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aWireless and Mobile Communication.
650 2 4 _aInternet of Things.
653 0 _aDrone aircraft -- Control systems
653 0 _aVehicular ad hoc networks (Computer networks)
700 1 _aJiang, Chunxiao.
_eauthor.
_0(orcid)0000-0002-3703-121X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
830 0 _aWireless Networks,
_x2366-1445
856 4 0 _uhttps://doi.org/10.1007/978-981-16-8850-8
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK