東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mixed-criticality industrial wireles...

Jin, Xi.

FindBook

Google Book

Amazon

博客來

Mixed-criticality industrial wireless networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mixed-criticality industrial wireless networks/ by Xi Jin ... [et al.].
其他作者:	Jin, Xi.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xi, 131 p. :ill., digital ;24 cm.
內容註:	Chapter 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.
Contained By:	Springer Nature eBook
標題:	Wireless communication systems. -
電子資源:	https://doi.org/10.1007/978-981-19-8922-3
ISBN:	9789811989223

Mixed-criticality industrial wireless networks
Mixed-criticality industrial wireless networks[electronic resource] /by Xi Jin ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xi, 131 p. :ill., digital ;24 cm. - Wireless networks,2366-1445. - Wireless networks..

Chapter 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.

Open access.

This 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.

ISBN: 9789811989223

Standard No.: 10.1007/978-981-19-8922-3doiSubjects--Topical Terms:

567106
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 004.6

Mixed-criticality industrial wireless networks
LDR:03294nmm a2200349 a 4500 001 2316942
003 DE-He213
005 20230313081827.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789811989223 $q (electronic bk.)
020 $a 9789811989216 $q (paper)
024 7 $a 10.1007/978-981-19-8922-3 $2 doi
035 $a 978-981-19-8922-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004.6 $2 23
090 $a TK5103.2 $b .M685 2023
245 0 0 $a Mixed-criticality industrial wireless networks $h [electronic resource] / $c by Xi Jin ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xi, 131 p. : $b ill., digital ; $c 24 cm.
490 1 $a Wireless networks, $x 2366-1445
505 0 $a Chapter 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 $a Open access.
520 $a This 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.
650 0 $a Wireless communication systems. $3 567106
650 0 $a Industrial management $x Data processing. $3 647371
650 1 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Wireless and Mobile Communication. $3 3338159
650 2 4 $a Embedded Systems. $3 3592715
650 2 4 $a Cyber-Physical Systems. $3 3591993
700 1 $a Jin, Xi. $3 3630562
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Wireless networks. $3 2162432
856 4 0 $u https://doi.org/10.1007/978-981-19-8922-3
950 $a Computer Science (SpringerNature-11645)