| TÃtulo : |
Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions |
| Tipo de documento: |
documento electrónico |
| Autores: |
Gao, Jie, ; Li, Mushu, ; Zhuang, Weihua, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XIV, 168 p. 28 ilustraciones, 15 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-88743-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Red de computadoras Sistemas de comunicación inalámbrica. Sistemas de comunicación móviles. Inteligencia artificial Software de la aplicacion Redes de comunicación informática Comunicación inalámbrica y móvil Aplicaciones informáticas y de sistemas de información |
| Clasificación: |
004.6 Ciencia de los computadores (Interfaces y comunicaciones) |
| Resumen: |
Este libro cubre soluciones de conectividad y computación de vanguardia para casos de uso representativos de Internet de las cosas (IoT), incluido el IoT industrial, el IoT rural, el Internet de los vehÃculos (IoV) y la realidad virtual móvil (VR). En función de sus caracterÃsticas y requisitos únicos, se diseñan soluciones personalizadas con objetivos como admitir conexiones masivas o movilidad fluida y lograr una baja latencia o una alta eficiencia energética. Mientras tanto, el libro destaca el papel de la inteligencia artificial (IA) en las futuras redes de IoT y muestra la conectividad basada en IA y las soluciones informáticas de vanguardia. Las soluciones presentadas en este libro tienen el propósito general de facilitar un mundo cada vez más conectado e inteligente. Los beneficios potenciales de las soluciones incluyen una mayor productividad en las fábricas, una mejor conectividad en las zonas rurales, una mayor seguridad para los vehÃculos y experiencias de entretenimiento enriquecidas para los usuarios móviles. Este libro, que presenta investigaciones de vanguardia en el campo de IoT, puede ayudar a responder la pregunta de cómo conectar miles de millones de dispositivos diversos y permitir la recopilación y el procesamiento de datos sin problemas en el futuro IoT. El contenido también proporciona información sobre la importancia de personalizar soluciones de casos de uso especÃficos, asà como enfoques para utilizar varios métodos de IA para potenciar la IoT. Este libro está dirigido a investigadores y estudiantes de posgrado que trabajan en las áreas de ingenierÃa eléctrica, ingenierÃa informática e informática como libro de texto secundario o referencia. Los profesionales de la industria que trabajan en el campo de IoT también encontrarán útil este libro. |
| Nota de contenido: |
Introduction -- 1.1 The Era of Internet of Things -- 1.2 Connectivity in IoT -- 1.3 Edge Computing in IoT -- 1.4 AI in IoT -- 1.5 Scope and Organization of This Book -- References -- 2 Industrial Internet of Things: Smart Factory -- 2.1 Industrial IoT Networks -- 2.2 Connectivity Requirements of Smart Factory -- 2.2.1 Application-Specific Requirements -- 2.2.2 Related Standards -- 2.2.3 Potential Non-Link-Layer Solutions -- 2.2.4 Link-Layer Solutions: Recent Research Efforts -- 2.3 Protocol Design for Smart Factory -- 2.3.1 Networking Scenario -- 2.3.2 Mini-Slot based Carrier Sensing (MsCS) -- 2.3.3 Synchronization Sensing (SyncCS) -- 2.3.4 Di_erentiated Assignment Cycles -- 2.3.5 Superimposed Mini-slot Assignment (SMsA) -- 2.3.6 Downlink Control -- 2.4 Performance Analysis -- 2.4.1 Delay Performance with No Buaer -- 2.4.2 Delay Performance with Buaer -- 2.4.3 Slot Idle Probability -- 2.4.4 Impact of SyncCS -- 2.4.5 Impact of SMsA -- 2.5 Scheduling and AI-Assisted Protocol Parameter Selection -- 2.5.1 Background -- 2.5.2 The Considered Scheduling Problem -- ix -- x Contents -- 2.5.3 Device Assignment -- 2.5.4 AI-Assisted Protocol Parameter Selection -- 2.6 Numerical Results -- 2.6.1 Mini-Slot Delay with MsCS, SyncCS, and SMsA -- 2.6.2 Performance of the Device Assignment Algorithms -- 2.6.3 DNN-Assisted Scheduling -- 2.7 Summary -- References -- 3 UAV-Assisted Edge Computing: Rural IoT Applications -- 3.1 Background on UAV-Assisted Edge Computing -- 3.2 Connectivity Requirements of UAV-assisted MEC for Rural -- IoT -- 3.2.1 Network Constraints -- 3.2.2 State-of-the-Art Solutions -- 3.3 Multi-Resource Allocation for UAV-Assisted Edge Computing -- 3.3.1 Network Model -- 3.3.2 Communication Model -- 3.3.3 Computing Model -- 3.3.4 Energy Consumption Model -- 3.3.5 Problem Formulation -- 3.3.6 Optimization Algorithm for UAV-Assisted Edge -- Computing -- 3.3.7 Proactive Trajectory Design based on Spatial -- Distribution Estimation -- 3.4 Numerical Results -- 3.5 Summary -- References -- 4 Collaborative Computing for Internet of Vehicles -- 4.1 Background on Internet of Vehicles -- 4.2 Connectivity Challenges for MEC -- 4.2.1 Server Selection for Computing Offoading -- 4.2.2 Service Migration -- 4.2.3 Cooperative Computing -- 4.3 Computing Task Partition and Scheduling for Edge Computing -- 4.3.1 Collaborative Edge Computing Framework -- 4.3.2 Service Delay -- 4.3.3 Service Failure Penalty -- 4.3.4 Problem Formulation -- 4.3.5 Task Partition and Scheduling -- 4.4 AI-Assisted Collaborative Computing Approach -- 4.5 Performance Evaluation -- 4.5.1 Task Partition and Scheduling Algorithm -- 4.5.2 AI-based Collaborative Computing Approach -- Contents xi -- 4.6 Summary -- References -- 5 Edge-assisted Mobile VR -- 5.1 Background on Mobile Virtual Reality -- 5.2 Caching and Computing Requirements of Mobile VR -- 5.2.1 Mobile VR Video Formats -- 5.2.2 Edge Caching for Mobile VR -- 5.2.3 Edge Computing for Mobile VR -- 5.3 Mobile VR Video Caching and Delivery Model -- 5.3.1 Network Model -- 5.3.2 Content Distribution Model -- 5.3.3 Content Popularity Model -- 5.3.4 Research Objective -- 5.4 Content Caching for Mobile VR -- 5.4.1 Adaptive Field-of-View Video Chunks -- 5.4.2 Content Placement on an Edge Cache -- 5.4.3 Placement Scheme for Video Chunks in a VS -- 5.4.4 Placement Scheme for Video Chunks of Multiple VSs -- 5.4.5 Numerical Results -- 5.5 AI-assisted Mobile VR Video Delivery -- 5.5.1 Content Distribution -- 5.5.2 Intelligent Content Distribution Framework -- 5.5.3 WI-based Delivery Scheduling -- 5.5.4 Reinforcement Learning Assisted Content Distribution -- 5.5.5 Neural Network Structure -- 5.5.6 Numerical Results -- 5.6 Summary -- References -- 6 Conclusions -- 6.1 Summary of the Research -- 6.2 Discussion of Future Directions -- Index. |
| Tipo de medio : |
Computadora |
| Summary : |
This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this bookcan help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions [documento electrónico] / Gao, Jie, ; Li, Mushu, ; Zhuang, Weihua, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIV, 168 p. 28 ilustraciones, 15 ilustraciones en color. ISBN : 978-3-030-88743-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Red de computadoras Sistemas de comunicación inalámbrica. Sistemas de comunicación móviles. Inteligencia artificial Software de la aplicacion Redes de comunicación informática Comunicación inalámbrica y móvil Aplicaciones informáticas y de sistemas de información |
| Clasificación: |
004.6 Ciencia de los computadores (Interfaces y comunicaciones) |
| Resumen: |
Este libro cubre soluciones de conectividad y computación de vanguardia para casos de uso representativos de Internet de las cosas (IoT), incluido el IoT industrial, el IoT rural, el Internet de los vehÃculos (IoV) y la realidad virtual móvil (VR). En función de sus caracterÃsticas y requisitos únicos, se diseñan soluciones personalizadas con objetivos como admitir conexiones masivas o movilidad fluida y lograr una baja latencia o una alta eficiencia energética. Mientras tanto, el libro destaca el papel de la inteligencia artificial (IA) en las futuras redes de IoT y muestra la conectividad basada en IA y las soluciones informáticas de vanguardia. Las soluciones presentadas en este libro tienen el propósito general de facilitar un mundo cada vez más conectado e inteligente. Los beneficios potenciales de las soluciones incluyen una mayor productividad en las fábricas, una mejor conectividad en las zonas rurales, una mayor seguridad para los vehÃculos y experiencias de entretenimiento enriquecidas para los usuarios móviles. Este libro, que presenta investigaciones de vanguardia en el campo de IoT, puede ayudar a responder la pregunta de cómo conectar miles de millones de dispositivos diversos y permitir la recopilación y el procesamiento de datos sin problemas en el futuro IoT. El contenido también proporciona información sobre la importancia de personalizar soluciones de casos de uso especÃficos, asà como enfoques para utilizar varios métodos de IA para potenciar la IoT. Este libro está dirigido a investigadores y estudiantes de posgrado que trabajan en las áreas de ingenierÃa eléctrica, ingenierÃa informática e informática como libro de texto secundario o referencia. Los profesionales de la industria que trabajan en el campo de IoT también encontrarán útil este libro. |
| Nota de contenido: |
Introduction -- 1.1 The Era of Internet of Things -- 1.2 Connectivity in IoT -- 1.3 Edge Computing in IoT -- 1.4 AI in IoT -- 1.5 Scope and Organization of This Book -- References -- 2 Industrial Internet of Things: Smart Factory -- 2.1 Industrial IoT Networks -- 2.2 Connectivity Requirements of Smart Factory -- 2.2.1 Application-Specific Requirements -- 2.2.2 Related Standards -- 2.2.3 Potential Non-Link-Layer Solutions -- 2.2.4 Link-Layer Solutions: Recent Research Efforts -- 2.3 Protocol Design for Smart Factory -- 2.3.1 Networking Scenario -- 2.3.2 Mini-Slot based Carrier Sensing (MsCS) -- 2.3.3 Synchronization Sensing (SyncCS) -- 2.3.4 Di_erentiated Assignment Cycles -- 2.3.5 Superimposed Mini-slot Assignment (SMsA) -- 2.3.6 Downlink Control -- 2.4 Performance Analysis -- 2.4.1 Delay Performance with No Buaer -- 2.4.2 Delay Performance with Buaer -- 2.4.3 Slot Idle Probability -- 2.4.4 Impact of SyncCS -- 2.4.5 Impact of SMsA -- 2.5 Scheduling and AI-Assisted Protocol Parameter Selection -- 2.5.1 Background -- 2.5.2 The Considered Scheduling Problem -- ix -- x Contents -- 2.5.3 Device Assignment -- 2.5.4 AI-Assisted Protocol Parameter Selection -- 2.6 Numerical Results -- 2.6.1 Mini-Slot Delay with MsCS, SyncCS, and SMsA -- 2.6.2 Performance of the Device Assignment Algorithms -- 2.6.3 DNN-Assisted Scheduling -- 2.7 Summary -- References -- 3 UAV-Assisted Edge Computing: Rural IoT Applications -- 3.1 Background on UAV-Assisted Edge Computing -- 3.2 Connectivity Requirements of UAV-assisted MEC for Rural -- IoT -- 3.2.1 Network Constraints -- 3.2.2 State-of-the-Art Solutions -- 3.3 Multi-Resource Allocation for UAV-Assisted Edge Computing -- 3.3.1 Network Model -- 3.3.2 Communication Model -- 3.3.3 Computing Model -- 3.3.4 Energy Consumption Model -- 3.3.5 Problem Formulation -- 3.3.6 Optimization Algorithm for UAV-Assisted Edge -- Computing -- 3.3.7 Proactive Trajectory Design based on Spatial -- Distribution Estimation -- 3.4 Numerical Results -- 3.5 Summary -- References -- 4 Collaborative Computing for Internet of Vehicles -- 4.1 Background on Internet of Vehicles -- 4.2 Connectivity Challenges for MEC -- 4.2.1 Server Selection for Computing Offoading -- 4.2.2 Service Migration -- 4.2.3 Cooperative Computing -- 4.3 Computing Task Partition and Scheduling for Edge Computing -- 4.3.1 Collaborative Edge Computing Framework -- 4.3.2 Service Delay -- 4.3.3 Service Failure Penalty -- 4.3.4 Problem Formulation -- 4.3.5 Task Partition and Scheduling -- 4.4 AI-Assisted Collaborative Computing Approach -- 4.5 Performance Evaluation -- 4.5.1 Task Partition and Scheduling Algorithm -- 4.5.2 AI-based Collaborative Computing Approach -- Contents xi -- 4.6 Summary -- References -- 5 Edge-assisted Mobile VR -- 5.1 Background on Mobile Virtual Reality -- 5.2 Caching and Computing Requirements of Mobile VR -- 5.2.1 Mobile VR Video Formats -- 5.2.2 Edge Caching for Mobile VR -- 5.2.3 Edge Computing for Mobile VR -- 5.3 Mobile VR Video Caching and Delivery Model -- 5.3.1 Network Model -- 5.3.2 Content Distribution Model -- 5.3.3 Content Popularity Model -- 5.3.4 Research Objective -- 5.4 Content Caching for Mobile VR -- 5.4.1 Adaptive Field-of-View Video Chunks -- 5.4.2 Content Placement on an Edge Cache -- 5.4.3 Placement Scheme for Video Chunks in a VS -- 5.4.4 Placement Scheme for Video Chunks of Multiple VSs -- 5.4.5 Numerical Results -- 5.5 AI-assisted Mobile VR Video Delivery -- 5.5.1 Content Distribution -- 5.5.2 Intelligent Content Distribution Framework -- 5.5.3 WI-based Delivery Scheduling -- 5.5.4 Reinforcement Learning Assisted Content Distribution -- 5.5.5 Neural Network Structure -- 5.5.6 Numerical Results -- 5.6 Summary -- References -- 6 Conclusions -- 6.1 Summary of the Research -- 6.2 Discussion of Future Directions -- Index. |
| Tipo de medio : |
Computadora |
| Summary : |
This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this bookcan help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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