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020 _a9789811989223
_9978-981-19-8922-3
024 7 _a10.1007/978-981-19-8922-3
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
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082 0 4 _a004.6
_223
100 1 _aJin, Xi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMixed-Criticality Industrial Wireless Networks
_h[electronic resource] /
_cby Xi Jin, Changqing Xia, Chi Xu, Dong Li.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXI, 131 p. 1 illus.
_bonline 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 -- 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.
506 0 _aOpen Access
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 executedfirst 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.
650 0 _aComputer networks .
650 0 _aWireless communication systems.
650 0 _aMobile communication systems.
650 0 _aEmbedded computer systems.
650 0 _aCooperating objects (Computer systems).
650 1 4 _aComputer Communication Networks.
650 2 4 _aWireless and Mobile Communication.
650 2 4 _aEmbedded Systems.
650 2 4 _aCyber-Physical Systems.
700 1 _aXia, Changqing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aXu, Chi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aLi, Dong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811989216
776 0 8 _iPrinted edition:
_z9789811989230
776 0 8 _iPrinted edition:
_z9789811989247
830 0 _aWireless Networks,
_x2366-1445
856 4 0 _uhttps://doi.org/10.1007/978-981-19-8922-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-SOB
999 _c37451
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