Isbn: 9783689524821 - Control Aware Communication System for Edge Cloud Based Industrial Applications (9 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Paperback. Condition: new. Paperback. The text discusses the growing need for reliable wireless communication in Industry 4.0, driven by increased data exchange between humans and machines as well as between machines themselves. With the rise of connected devices in industrial environments, wireless systems must match the performance of wired networks, especially for critical applications requiring ultra-reliable and low-latency communication (URLLC). Because Industrial Internet of Things (IIoT) devices have limited energy and processing capacity, computational tasks are increasingly offloaded to edge clouds. This helps reduce device energy consumption while meeting strict latency requirements. However, wireless channels introduce challenges such as delays, fading, and additional energy costs. The thesis focuses on optimizing computation offloading strategies to minimize energy consumption while considering factors like channel conditions, latency constraints, and cloud resources. It shows that efficient offloading depends heavily on wireless channel quality and system resources. Additionally, the research examines wireless control of industrial systems, specifically Automated Guided Vehicles (AGVs). It finds that poor channel conditions increase instability and control errors, while factors like packet transmission rate and mobility influence system performance. The study identifies optimal communication strategies, such as transmission frequency and coding rates, to maintain stability and efficiency. A key contribution is the development of control-aware communication methods that integrate control system requirements into communication design. This includes new performance metrics like the "probability of instability" and improved algorithms for resource allocation and scheduling. Overall, the work advances energy-efficient, reliable, and control-aware wireless communication strategies for industrial systems, supporting the development of robust Industry 4.0 applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 196 pp. Englisch.

Paperback. Condition: new. Paperback. The text discusses the growing need for reliable wireless communication in Industry 4.0, driven by increased data exchange between humans and machines as well as between machines themselves. With the rise of connected devices in industrial environments, wireless systems must match the performance of wired networks, especially for critical applications requiring ultra-reliable and low-latency communication (URLLC). Because Industrial Internet of Things (IIoT) devices have limited energy and processing capacity, computational tasks are increasingly offloaded to edge clouds. This helps reduce device energy consumption while meeting strict latency requirements. However, wireless channels introduce challenges such as delays, fading, and additional energy costs. The thesis focuses on optimizing computation offloading strategies to minimize energy consumption while considering factors like channel conditions, latency constraints, and cloud resources. It shows that efficient offloading depends heavily on wireless channel quality and system resources. Additionally, the research examines wireless control of industrial systems, specifically Automated Guided Vehicles (AGVs). It finds that poor channel conditions increase instability and control errors, while factors like packet transmission rate and mobility influence system performance. The study identifies optimal communication strategies, such as transmission frequency and coding rates, to maintain stability and efficiency. A key contribution is the development of control-aware communication methods that integrate control system requirements into communication design. This includes new performance metrics like the "probability of instability" and improved algorithms for resource allocation and scheduling. Overall, the work advances energy-efficient, reliable, and control-aware wireless communication strategies for industrial systems, supporting the development of robust Industry 4.0 applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The text discusses the growing need for reliable wireless communication in Industry 4.0, driven by increased data exchange between humans and machines as well as between machines themselves. With the rise of connected devices in industrial environments, wireless systems must match the performance of wired networks, especially for critical applications requiring ultra-reliable and low-latency communication (URLLC).Because Industrial Internet of Things (IIoT) devices have limited energy and processing capacity, computational tasks are increasingly offloaded to edge clouds. This helps reduce device energy consumption while meeting strict latency requirements. However, wireless channels introduce challenges such as delays, fading, and additional energy costs.The thesis focuses on optimizing computation offloading strategies to minimize energy consumption while considering factors like channel conditions, latency constraints, and cloud resources. It shows that efficient offloading depends heavily on wireless channel quality and system resources.Additionally, the research examines wireless control of industrial systems, specifically Automated Guided Vehicles (AGVs). It finds that poor channel conditions increase instability and control errors, while factors like packet transmission rate and mobility influence system performance. The study identifies optimal communication strategies, such as transmission frequency and coding rates, to maintain stability and efficiency.A key contribution is the development of control-aware communication methods that integrate control system requirements into communication design. This includes new performance metrics like the 'probability of instability' and improved algorithms for resource allocation and scheduling.Overall, the work advances energy-efficient, reliable, and control-aware wireless communication strategies for industrial systems, supporting the development of robust Industry 4.0 applications.Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen 196 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Condition: Neu. Control Aware Communication System for Edge Cloud based Industrial Applications | Shreya Shrikant Tayade | Taschenbuch | Englisch | 2026 | Cuvillier | EAN 9783689524821 | Verantwortliche Person für die EU: Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen, info[at]cuvillier[dot]de | Anbieter: preigu Print on Demand. …