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008			220601s2017 sz | o |||| 0|eng d
020			_a9783031792786
024	7		_a10.1007/978-3-031-79278-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105 _b2017 EB
100	1		_aYang, Shenghao _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687687 _d1978-
245	1	0	_aBATS Codes : _bTheory and Practice _cby Shenghao Yang, Raymond Yeung
250			_a1st edition 2017
264		1	_aCham _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XVII, 208 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Learning Networks and Algorithms _x2690-4314
505	0		_aPreface -- Acknowledgments -- Preliminaries -- BATS Codes Basics -- First BATS Code Protocol -- Advanced Recoding Techniques -- Asymptotic Analysis of BP Decoding -- Asymptotic Degree Distribution Optimizations -- Finite-Length Analysis of BP Decoding -- Inactivation Decoding -- BATS Codes in General Networks -- Bibliography -- Authors' Biographies -- Index.
520			_aThis book discusses an efficient random linear network coding scheme, called BATched Sparse code, or BATS code, which is proposed for communication through multi-hop networks with packet loss. Multi-hop wireless networks have applications in the Internet of Things (IoT), space, and under-water network communications, where the packet loss rate per network link is high, and feedbacks have long delays and are unreliable. Traditional schemes like retransmission and fountain codes are not sufficient to resolve the packet loss so that the existing communication solutions for multi-hop wireless networks have either long delay or low throughput when the network length is longer than a few hops. These issues can be resolved by employing network coding in the network, but the high computational and storage costs of such schemes prohibit their implementation in many devices, in particular, IoT devices that typically have low computational power and very limited storage. A BATS code consists of an outer code and an inner code. As a matrix generalization of a fountain code, the outer code generates a potentially unlimited number of batches, each of which consists of a certain number (called the batch size) of coded packets. The inner code comprises (random) linear network coding at the intermediate network nodes, which is applied on packets belonging to the same batch. When the batch size is 1, the outer code reduces to an LT code (or Raptor code if precode is applied), and network coding of the batches reduces to packet forwarding. BATS codes preserve the salient features of fountain codes, in particular, their rateless property and low encoding/decoding complexity. BATS codes also achieve the throughput gain of random linear network coding. This book focuses on the fundamental features and performance analysis of BATS codes, and includes some guidelines and examples on how to design a network protocol using BATS codes.
988			_aSynthesis Collection of Technology_2017
650		7	_2embne _9145058 _aSistemas de transmisión de datos
700	1		_aYeung, Raymond W. _d1962- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687688
776	0	8	_iPrinted edition: _z9783031792779
776	0	8	_iPrinted edition: _z9783031792793
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79278-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eb _zSI