Mixed-Criticality Industrial Wireless Networks

This open-access book discusses how to manage critical tasks in industrial wireless networks, highlighting the distinction between importance and urgency. It introduces mixed-criticality data to label important data and allocate more transmission resources, ensuring better quality of service. The content is divided into three parts, covering integration, analysis, and scheduling algorithms, and is aimed at improving the QoS of industrial wireless networks.

Format: Hardback
Length: 131 pages
Publication date: 14 March 2023
Publisher: Springer Verlag, Singapore

This open access book provides valuable insights into managing crucial tasks within industrial wireless networks. It emphasizes the consensus among system designers and users that important tasks must be completed promptly and with guaranteed quality. However, a common misconception exists that these tasks must be executed urgently, leading to the inefficient utilization of resources. In reality, the performance of important tasks can often be guaranteed even if they are delayed, allowing for the reallocation of "early" resources to more urgent tasks. This misguided emphasis on urgency hinders the effective use of system resources.

To address this issue, mixed criticality was introduced in 2007 to categorize tasks based on their importance levels. Since then, system designers and users have differentiated between importance and urgency. In the industrial realm, where harsh environments pose significant challenges to industrial wireless networks' quality of service (QoS), this book introduces the concept of criticality to label important data. By allocating more transmission resources to critical data, it ensures that the QoS requirements of important data are met to the extent possible.

The book is organized into three parts to facilitate a comprehensive understanding of mixed-criticality data in industrial wireless networks. The first part introduces the integration of mixed-criticality data models into industrial wireless networks. The second part explores the analysis of the schedulability of mixed-criticality data under existing scheduling algorithms. The third part presents a range of novel scheduling algorithms specifically designed for mixed-criticality data.

By applying the principles and techniques outlined in this book, readers can enhance the QoS of industrial wireless networks and optimize their resource utilization. The insights provided will empower system designers and users to make informed decisions about task scheduling and ensure the successful completion of critical tasks in industrial environments.

Weight: 389g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811989216
Edition number: 1st ed. 2023