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008			220210s2022 si | s |||| 0|eng d
020			_a9789811688508
024	7		_a10.1007/978-981-16-8850-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTH2247 _b2022 EB
100	1		_aWang, Jingjing _dactivo 2014- _eautor _0(orcid)0000-0003-3170-8952 _1https://orcid.org/0000-0003-3170-8952 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683860
245	1	0	_aFlying Ad Hoc Networks : _bCooperative Networking and Resource Allocation _cby Jingjing Wang, Chunxiao Jiang
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 287 páginas) _b1 ilustración
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9667210 _aDrones
650		7	_2embne _9158044 _aSistemas de comunicación inalámbricos
650		7	_2embne _9150657 _aProtocolos de comunicación
700	1		_aJiang, Chunxiao _eautor _0(orcid)0000-0002-3703-121X _1https://orcid.org/0000-0002-3703-121X _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683859
776	0	8	_iPrinted edition: _z9789811688492
776	0	8	_iPrinted edition: _z9789811688515
776	0	8	_iPrinted edition: _z9789811688522
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-8850-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b05/2022 _dz _esc _zSI