000			04963nam a22005655i 4500
001			978-3-031-02379-8
003			DE-He213
005			20240730163913.0
007			cr nn 008mamaa
008			220601s2020 sz | s |||| 0|eng d
020			_a9783031023798 _9978-3-031-02379-8
024	7		_a10.1007/978-3-031-02379-8 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
100	1		_aDhillon, Harpreet S. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981135
245	1	0	_aPoisson Line Cox Process _h[electronic resource] : _bFoundations and Applications to Vehicular Networks / _cby Harpreet S. Dhillon, Vishnu Vardhan Chetlur.
250			_a1st ed. 2020.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020.
300			_aXVII, 131 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314
505	0		_aPreface -- Acknowledgments -- Introduction -- The Poisson Point Process -- The Poisson Line Process -- The Poisson Line Cox Process -- Vehicular Communication Networks -- Ad Hoc Network Model -- Cellular Network Model -- Load Analysis -- Localization Networks -- Path Distance Characteristics -- Potential Future Research -- Bibliography -- Authors' Biographies.
520			_aThis book provides a comprehensive treatment of the Poisson line Cox process (PLCP) and its applications to vehicular networks. The PLCP is constructed by placing points on each line of a Poisson line process (PLP) as per an independent Poisson point process (PPP). For vehicular applications, one can imagine the layout of the road network as a PLP and the vehicles on the roads as the points of the PLCP. First, a brief historical account of the evolution of the theory of PLP is provided to familiarize readers with the seminal contributions in this area. In order to provide a self-contained treatment of this topic, the construction and key fundamental properties of both PLP and PLCP are discussed in detail. The rest of the book is devoted to the applications of these models to a variety of wireless networks, including vehicular communication networks and localization networks. Specifically, modeling the locations of vehicular nodes and roadside units (RSUs) using PLCP, the signal-to-interference-plus-noise ratio (SINR)-based coverage analysis is presented for both ad hoc and cellular network models. For a similar setting, the load on the cellular macro base stations (MBSs) and RSUs in a vehicular network is also characterized analytically. For the localization networks, PLP is used to model blockages, which is shown to facilitate the characterization of asymptotic blind spot probability in a localization application. Finally, the path distance characteristics for a special case of PLCP are analyzed, which can be leveraged to answer critical questions in the areas of transportation networks and urban planning. The book is concluded with concrete suggestions on future directions of research. Based largely on the original research of the authors, this is the first book that specifically focuses on the self-contained mathematical treatment of the PLCP. The ideal audience of this book is graduate students as well as researchers in academia and industry whoare familiar with probability theory, have some exposure to point processes, and are interested in the field of stochastic geometry and vehicular networks. Given the diverse backgrounds of the potential readers, the focus has been on providing an accessible and pedagogical treatment of this topic by consciously avoiding the measure theoretic details without compromising mathematical rigor.
650		0	_aArtificial intelligence. _93407
650		0	_aCooperating objects (Computer systems). _96195
650		0	_aProgramming languages (Electronic computers). _97503
650		0	_aTelecommunication. _910437
650	1	4	_aArtificial Intelligence. _93407
650	2	4	_aCyber-Physical Systems. _932475
650	2	4	_aProgramming Language. _939403
650	2	4	_aCommunications Engineering, Networks. _931570
700	1		_aChetlur, Vishnu Vardhan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981136
710	2		_aSpringerLink (Online service) _981137
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031002434
776	0	8	_iPrinted edition: _z9783031012518
776	0	8	_iPrinted edition: _z9783031035074
830		0	_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 _981138
856	4	0	_uhttps://doi.org/10.1007/978-3-031-02379-8
912			_aZDB-2-SXSC
942			_cEBK
999			_c85112 _d85112