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008			230313s2023 si | o |||| 0|eng d
020			_a9789811989223
024	7		_a10.1007/978-981-19-8922-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.5 _b2023 EB
100	1		_aJin, Xi _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689469
245	1	0	_aMixed-Criticality Industrial Wireless Networks _cby Xi Jin, Changqing Xia, Chi Xu, Dong Li
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aWireless Networks _x2366-1445
505	0		_aChapter 1 Introduction -- Chapter 2 Schedulability analysis of mixed-criticality data under fixed-priority scheduling -- Chapter 3 Schedulability Analysis of Mixed-Criticality Data under EDF Scheduling -- Chapter 4 Mixed-Criticality scheduling for TDMA networks -- Chapter 5 Mixed-Criticality scheduling with multiple radio interfaces -- Chapter 6 Mixed-Criticality Scheduling on 5G New Radio -- Chapter 7 Conclusions and Future Directions.
520			_aThis open access book introduces how to manage important tasks in industrial wireless networks. Important tasks must be completed on time and with guaranteed quality; that is the consensus reached by system designers and users. However, for too long, important tasks have often been given unnecessary urgency, and people intuitively believe that important tasks should be executed first so that their performance can be guaranteed. Actually, in most cases, their performance can be guaranteed even if they are executed later, and the "early" resources can be utilized for other, more urgent tasks. Therefore, confusing importance with urgency hinders the proper use of system resources. In 2007, mixed criticality was proposed to indicate that a system may contain tasks of various importance levels. Since then, system designers and users have distinguished between importance and urgency. In the industrial field, due to the harsh environment they operate in, industrial wireless networks' quality of service (QoS) has always been a bottleneck restricting their applications. Therefore, this book introduces criticality to label important data, which is then allocated more transmission resources, ensuring that important data's QoS requirements can be met to the extent possible. To help readers understand how to apply mixed-criticality data to industrial wireless networks, the content is divided into three parts. First, we introduce how to integrate the model of mixed-criticality data into industrial wireless networks. Second, we explain how to analyze the schedulability of mixed-criticality data under existing scheduling algorithms. Third, we present a range of novel scheduling algorithms for mixed-criticality data. If you want to improve the QoS of industrial wireless networks, this book is for you.
988			_aSpringer_Computer_2023
650		7	_2embne _9141354 _aRedes informáticas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-8922-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _ek _zSI