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Building the hyperconnected society : IoT research and innovation value chains, ecosystems and markets / editors, Dr. Ovidiu Vermesan, Dr. Peter Friess.
- Format:
- Book
- Author/Creator:
- Vermesan, Ovidiu., Editor.
- Series:
- River Publishers series in communications ; v. 43.
- River Publishers Series in Communications ; Volume 43
- Language:
- English
- Subjects (All):
- Economic development--Technological innovations.
- Economic development.
- Physical Description:
- 1 online resource (331 pages).
- Edition:
- 1st ed.
- Place of Publication:
- Aalborg, Denmark ; Delft, Netherlands : River Publishers, 2016.
- Language Note:
- English
- Summary:
- This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment.The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda, and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade.
- Contents:
- Cover
- Half title - Building the Hyperconnected SocietyIoT Research and Innovation Value Chains, Ecosystems and Markets
- Series Title
- Title page - Building the Hyperconnected SocietyIoT Research and Innovation Value Chains, Ecosystems and Markets
- Copyright page
- Dedication
- Contents
- Preface
- Editors Biography
- Chapter 1- Introduction
- 1.1 Now Is the Time
- 1.2 The Digital Single Market and Internet of Things Transformative Technologies
- 1.3 Benefits and Challenges
- 1.4 Conclusion
- Chapter 2 - New Horizons for the Internet of Thingsin Europe
- 2.1 Introduction
- 2.2 The IoT Is the New Age
- 2.3 The IoT Can Unleash a New Industrialand Innovation Era
- 2.4 Issues to Be Tackled
- 2.5 Building IoT Innovation Ecosystems
- 2.6 IoT Large Scale Pilots for Testing and Deployment
- 2.7 Alliance for Internet of Things Innovation
- 2.8 Conclusions
- Chapter 3 - Internet of Things beyond the Hype: Research, Innovation and Deployment
- 3.1 Internet of Things Vision
- 3.1.1 Internet of Things Common Definition
- 3.2 IoT Strategic Research and Innovation Directions
- 3.2.1 IoT Applications and Deployment Scenarios
- 3.3 IoT Smart-X Applications
- 3.3.1 Wearables
- 3.3.2 Smart Health,Wellness and AgeingWell
- 3.3.3 Smart Homes and Buildings
- 3.3.4 Smart Energy
- 3.3.5 Smart Mobility and Transport
- 3.3.6 Smart Manufacturing and Industrial Internet of Things
- 3.3.7 Smart Cities
- 3.3.7.1 Large Scale Pilots and Ecosystem for Smart Cities
- 3.3.7.2 Role of Institutions and Citizens in the Global IoT
- 3.3.8 Smart Farming and Food Security
- 3.4 Future Internet Support for IoT
- 3.4.1 Macro-Challenges for Supporting IoT Evolution
- 3.4.1.1 Billions of Devices
- 3.4.1.2 IoT Management for Robustness and Reliability
- 3.4.1.3 Intelligent Reasoning over IoT Data.
- 3.4.2 Roadmap and Technology for Addressing TheseChallenges
- 3.4.2.1 From Challenges to Technology Solutions
- 3.5 Internet of Things and Related Future Internet Technologies
- 3.5.1 Cloud and Edge/Fog Computing
- 3.5.2 Federated IoT Data Cloud and Orchestrationof Large Scale Services
- 3.5.2.1 IoT Data Analytics
- 3.5.3 IoT Interoperability and Semantic Technologies
- 3.6 Networks and Communication
- 3.6.1 Networking Technology
- 3.6.2 Communication Technology
- 3.7 Data Management
- 3.7.1 Smart Data
- 3.8 A QoS Security Framework for the IoT Architecture
- 3.8.1 End-to-End Security. The Decentralized Approach.
- 3.8.2 Standardization. Certification. Interoperability.
- 3.8.3 Components of a QoS Security Framework
- 3.8.3.1 Authentication
- 3.8.3.2 Authorization
- 3.8.3.3 Network
- 3.8.3.4 Trust Management
- 3.9 Discussion
- Acknowledgments
- Bibliography
- Chapter 4 - Internet of Things Application Scenarios, Pilots and Innovation
- 4.1 Introduction
- 4.2 IoT Projects
- 4.2.1 ALMANAC
- 4.2.1.1 Application Areas
- 4.2.1.2 Pilots and Demonstrators
- 4.2.1.2.1 SmartWaste Collection Field Trial
- 4.2.1.2.2 SmartWater Capillary Network
- 4.2.1.2.3 Collaborative Citizen-centric application
- 4.2.2 ClouT
- 4.2.2.1 Application Areas
- 4.2.2.2 Pilots and Demonstrators
- 4.2.2.2.1 Fujisawa field trial: Surfboard + Smile Coupon
- 4.2.2.2.2 Mitaka field trial: Paw collection
- 4.2.2.2.3 Genova field trial: "I don't risk" (SEM1 application context)
- 4.2.2.2.4 Santander field trial:Traffic Mobility Management
- 4.2.2.2.5 Sensorized garbage collection cars
- 4.2.2.2.6 Pace of the city
- 4.2.3 OSMOSE
- 4.2.3.1 Application Areas
- 4.2.3.2 Pilots and Demonstrators
- 4.2.3.2.1 OSMOsis applications for Aerospace Domain
- 4.2.3.2.2 OSMOsis applications for Automotive Domain
- 4.2.4 RERUM
- 4.2.4.1 Application Areas.
- 4.2.4.2 Pilots and Demonstrators
- 4.2.4.2.1 RERUM Mote (ReMote2)
- 4.2.4.2.2 Smart Transportation
- 4.2.4.2.3 Smart Environmental monitoring
- 4.2.4.2.4 Home energy management
- 4.2.4.2.5 Comfort quality monitoring
- 4.2.5 SMARTIE
- 4.2.5.1 Application Areas
- 4.2.5.2 Pilots and Demonstrators
- 4.2.5.2.1 Augmented Reality Based Smart Transport Service
- 4.2.6 SocIoTal
- 4.2.6.1 Application Areas
- 4.2.6.2 Pilots and Demonstrators
- 4.2.6.2.1 Santander and Novisad trials
- 4.2.7 VITAL
- 4.2.7.1 Application Areas
- 4.2.7.2 Pilots and Demonstrators
- 4.2.7.2.1 IoT-supported Urban Regeneration
- 4.2.7.2.2 IoT-enabled Smart Traffic Management
- 4.2.8 BUTLER (Completed)
- 4.2.8.1 Application Areas
- 4.2.8.2 Pilots and Demonstrators
- 4.2.8.2.1 SmartOffice Trial
- 4.2.8.2.2 SmartShopping Trial
- 4.2.8.2.3 SmartParking Trial
- 4.2.8.2.4 SmartHealth Trial
- 4.2.8.2.5 SmartTransport Trial
- 4.2.9 iCore
- 4.2.9.1 Application Areas
- 4.2.9.2 Pilots and Demonstrators
- 4.2.9.2.1 Pilot at Trento Hospital
- 4.2.9.2.2 Smart Tour in the City
- 4.2.9.2.3 Smart Urban security
- 4.2.9.2.4 Smart Home
- 4.2.9.2.5 Task-based Smart IoT
- 4.2.9.2.6 Smart City:Transportation
- 4.2.9.2.7 Smart Office
- 4.2.9.2.8 Smart cold chain logistics
- 4.2.10 IoT.est (Completed)
- 4.2.10.1 Application Areas
- 4.2.10.2 Pilots and Demonstrators
- 4.2.10.2.1 IoT Services Testing
- 4.2.11 OpenIoT
- 4.2.11.1 Application Areas
- 4.2.11.2 Pilots and Demonstrators
- 4.2.11.2.1 IoT-Smart City - Crowdsensing Quality of Air Monitoring Trial
- 4.2.11.2.2 IoT-Intelligent Manufacturing - Smart Industry Trial
- 4.2.11.2.3 IoT Enabled (Smart) Campus Guide
- 4.2.11.2.4 Silver Angel - IoT Enabled Living and Communication in Smart Cities
- 4.2.11.2.5 IoT-Large Scale Deployments - Phenonet Trial.
- 4.2.11.2.6 OpenIot middleware platform and Virtual Development Kit
- 4.3 IoT Projects' Pilots and Demonstrators
- 4.4 Summary
- 4.5 List of Contributors
- Chapter 5 - Industrial Internet of Thingsand the Innovation Processesin Smart Manufacturing
- 5.1 IIoT for Manufacturing: Key Enabler for 4th Industrial Revolution
- 5.2 IoT in the Factories of the Future PPP and Digital Manufacturing:The EFFRA Perspective
- 5.2.1 IoT &
- Cyber-Physical Production Systems
- 5.2.2 CPPS Architectures Design Drivers for Scalable, Adaptive and Smart Manufacturing Systems
- 5.3 Product Design and Engineering in the IoT Era:The LINKEDDESIGN Project
- 5.3.1 IoT-Enabled Closed Loop Framework
- 5.3.2 Discussion
- 5.4 Workplaces of the Future and IoT:The FITMAN Project
- 5.4.1 FITMAN Smart Factory Platform (IoT)
- 5.4.2 Safe &
- HealthyWorkforce:TRW Use Case
- 5.5 Osmosis Membranes for IoT Real-Digital-Virtual Worlds Interconnection:The OSMOSE Project
- 5.5.1 The IoT Data Gaps
- 5.5.2 The Liquid Enterprise
- 5.5.3 Osmotic Context Management
- 5.6 IoT Enhanced Learning for Complex SystemsMaintenance:The TELLME Project
- 5.6.1 The Need for IoT Enhanced Learning in Aerospace
- 5.6.2 IoT Enhanced Learning for Avoidance of Foreign ObjectDebris (FOD)
- 5.6.3 IoT Enhanced Learning for Non-StandardWorkplaceEnvironmental Condition
- 5.6.4 FutureWork
- 5.7 IoT-Driven Manufacturing Innovation Ecosystems
- 5.8 Industrial Internet of Things:The US IGNITEPerspective
- 5.8.1 Background on US IGNITE and the GENI/FIRE Initiatives
- 5.8.2 Cyber Physical Tools and Frameworks
- 5.9 Research, Innovation Challenges for IoT Adoption in Manufacturing:The SMART 2013/37 EC Study
- 5.9.1 The Study IoT and Cloud Research and Innovation Strategy
- 5.9.2 The Main Market Trends
- 5.9.3 The IoT and Cloud Research and InnovationChallenges.
- 5.9.4 Study Conclusions and EC Policy Recommendations
- Chapter 6 - Securing the Internet of Things - Security and Privacy in a HyperconnectedWorld
- 6.1 Introduction
- 6.2 End-to-End Security and Privacy by Design
- 6.3 Physical IoT Security
- 6.3.1 Selected Low-Cost Attacks
- 6.3.2 Key Extraction Attacks and Countermeasures
- 6.4 On Device Security and Privacy
- 6.4.1 Mediated Device Access for Security and Privacy
- 6.4.2 Encryption
- 6.4.3 Integrity
- 6.4.4 Data Minimisation
- 6.5 Unobservable Communication
- 6.5.1 Resisting Network Traffic Analysis
- 6.6 Access Control Based on Policy Management
- 6.7 Security and Privacy in the IoT Cloud
- 6.7.1 Verifiable and Authenticity Preserving Data Processing
- 6.7.2 Structural Integrity and Certification of Virtualized Infrastructure
- 6.7.3 Privacy Preserving Service Usage and Data Handling
- 6.7.4 Confidentiality of (Un-)structured Data
- 6.7.5 Long Term Security and Everlasting Privacy
- 6.7.6 Conclusion
- 6.8 Outlook
- Acknowledgment
- Chapter 7 - IoT Analytics: Collect, Process, Analyze, and Present Massive Amounts of Operational Data - Research and Innovation Challenges
- 7.1 Introduction
- 7.2 Deep Internet of Things Data Analytics
- 7.2.1 Introduction
- 7.2.2 Designing for Real World Problems
- 7.2.3 Real World Data
- 7.2.4 Data Interoperability
- 7.2.5 Deep Data Analytics Methods
- 7.2.6 Conclusions
- 7.3 Cloud-Based IoT Big Data Platform
- 7.3.1 Introduction
- 7.3.2 Big Data in the Context of IoT
- 7.3.3 Applications of IoT Big Data Analytics
- 7.3.4 Requirements of IoT Big Data Analytic Platform
- 7.3.4.1 Intelligent and dynamic
- 7.3.4.2 Distributed
- 7.3.4.3 Scalable and elastic
- 7.3.4.4 Real-time
- 7.3.4.5 Heterogeneous (unified)
- 7.3.4.6 Security and privacy
- 7.3.5 Cloud-Based IoT Analytic Platform.
- 7.4 IoT Analytics in Health and Social Care.
- Notes:
- Includes bibliographical references at the end of each chapters and index.
- CC BY-NC-ND
- Description based on online resource; title from PDF title page (ebrary, viewed August 26, 2016).
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-000-79611-6
- 1-00-333745-7
- 1-003-33745-7
- 87-93237-98-7
- 9781003337454
- OCLC:
- 957125085
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