Book description
This book examines the Internet of Things (IoT) and Cyber-Physical Systems (CPS) from a technical, economical and application point of view
- Examines cloud computing, data analytics, and sustainability and how they relate to IoT/CPS
- Covers the scope of both consumer IoT and enterprise/government CPS applications
- Includes best practices, business model and real-world case studies
Table of contents
- COVER
- TITLE PAGE
- LIST OF CONTRIBUTORS
- FOREWORD
- TECHNICAL ADVISORY BOARD MEMBERS
- PREFACE
- ACKNOWLEDGMENTS
- ABOUT THE COMPANION WEBSITE
-
PART I: INTERNET OF THINGS
-
1 INTERNET OF THINGS AND DATA ANALYTICS IN THE CLOUD WITH INNOVATION AND SUSTAINABILITY
- 1.1 INTRODUCTION
- 1.2 THE IoT AND THE FOURTH INDUSTRIAL REVOLUTION
- 1.3 INTERNET OF THINGS TECHNOLOGY
- 1.4 STANDARDS AND PROTOCOLS
- 1.5 IoT ECOSYSTEM
- 1.6 DEFINITION OF BIG DATA
- 1.7 IoT, DATA ANALYTICS, AND CLOUD COMPUTING
- 1.8 CREATIVITY, INVENTION, INNOVATION, AND DISRUPTIVE INNOVATION
- 1.9 POLYA’S “HOW TO SOLVE IT”
- 1.10 BUSINESS PLAN AND BUSINESS MODEL
- 1.11 CONCLUSION AND FUTURE PERSPECTIVES
- REFERENCES
- FURTHER READING
- USEFUL WEBSITES
-
2 DIGITAL SERVICES AND SUSTAINABLE SOLUTIONS
- 2.1 INTRODUCTION
- 2.2 WHY IoT IS NOT JUST “NICE TO HAVE”
- 2.3 SERVICES IN A DIGITAL REVOLUTION
- 2.4 MOBILE DIGITAL SERVICES AND THE HUMAN SENSOR
- 2.5 NOT JUST ANOTHER APP
- 2.6 THE HIDDEN LIFE OF THINGS
- 2.7 THE UMBRELLAS ARE NOT WHAT THEY SEEM
- 2.8 INTERACTING WITH THE INVISIBLE
- 2.9 SOCIETY AS OPEN SOURCE
- 2.10 LEARN FROM YOUR HACKERS
- 2.11 ENSURING HIGH‐QUALITY SERVICES TO CITIZENS
- 2.12 GOVERNMENT AS A PLATFORM
- 2.13 CONCLUSION
- REFERENCES
- 3 THE INDUSTRIAL INTERNET OF THINGS (IIoT)
- 4 STRATEGIC PLANNING FOR SMARTER CITIES
- 5 NEXT‐GENERATION LEARNING
- 6 THE BRAIN–COMPUTER INTERFACE IN THE INTERNET OF THINGS
-
7 IoT INNOVATION PULSE
- 7.1 THE CONVERGENCE OF EXPONENTIAL TECHNOLOGIES AS A DRIVER OF INNOVATION
- 7.2 SIX DIMENSIONS OF THE PLECOSYSTEM
- 7.3 FIVE PRINCIPLES OF THE PLECOSYSTEM
- 7.4 THE BIOLOGIC ORGANISM ANALOGY FOR THE IoT
- 7.5 COMPONENTS FOR INNOVATION WITH THE ORGANISMAL ANALOG
- 7.6 SPINOZAN VALUE TRADE‐OFFS
- 7.7 HUMAN IoT SENSOR NETWORKS
- 7.8 ROLE OF THE IoT IN SOCIAL NETWORKS
- 7.9 SECURITY AND CYBERTHREAT RESILIENCE
- 7.10 IoT OPTIMIZATION FOR SUSTAINABILITY OF OUR PLANET
- 7.11 MAINTENANCE OF COMPLEX IoT NETWORKS
- 7.12 THE ACCORDION MODEL OF LEARNING AS A SOURCE OF INNOVATION
- 7.13 SUMMARY
- REFERENCES
- FURTHER READING
-
1 INTERNET OF THINGS AND DATA ANALYTICS IN THE CLOUD WITH INNOVATION AND SUSTAINABILITY
-
PART II: INTERNET OF THINGS TECHNOLOGIES
- 8 INTERNET OF THINGS OPEN‐SOURCE SYSTEMS
- 9 MEMS: AN ENABLING TECHNOLOGY FOR THE INTERNET OF THINGS (IoT)
- 10 ELECTRO‐OPTICAL INFRARED SENSOR TECHNOLOGIES FOR THE INTERNET OF THINGS
-
11 IPv6 FOR IoT AND GATEWAY
- 11.1 INTRODUCTION
- 11.2 IP: THE INTERNET PROTOCOL
- 11.3 IPv6: THE NEXT INTERNET PROTOCOL
- 11.4 6LoWPAN: IP FOR IoT
- 11.5 GATEWAYS: A BAD CHOICE
- 11.6 EXAMPLE IoT SYSTEMS
- 11.7 AN IoT DATA MODEL
- 11.8 THE PROBLEM OF DATA OWNERSHIP
- 11.9 MANAGING THE LIFE OF AN IoT DEVICE
- 11.10 CONCLUSION: LOOKING FORWARD
- FURTHER READING
-
12 WIRELESS SENSOR NETWORKS
- 12.1 INTRODUCTION
- 12.2 CHARACTERISTICS OF WIRELESS SENSOR NETWORKS
- 12.3 DISTRIBUTED COMPUTING
- 12.4 PARALLEL COMPUTING
- 12.5 SELF‐ORGANIZING NETWORKS
- 12.6 OPERATING SYSTEMS FOR SENSOR NETWORKS
- 12.7 WEB OF THINGS (WoT)
- 12.8 WIRELESS SENSOR NETWORK ARCHITECTURE
- 12.9 MODULARIZING THE WIRELESS SENSOR NODES
- 12.10 CONCLUSION
- REFERENCES
- FURTHER READING
- 13 NETWORKING PROTOCOLS AND STANDARDS FOR INTERNET OF THINGS
- 14 IoT ARCHITECTURE
- 15 A DESIGNER’S GUIDE TO THE INTERNET OF WEARABLE THINGS
- 16 BEACON TECHNOLOGY WITH IoT AND BIG DATA
- 17 SCADA FUNDAMENTALS AND APPLICATIONS IN THE IoT
- PART III: DATA ANALYTICS TECHNOLOGIES
-
PART IV: SMART EVERYTHING
-
24 CONNECTED VEHICLE
- 24.1 INTRODUCTION
- 24.2 CONNECTED, AUTOMATED, AND AUTONOMOUS VEHICLE TECHNOLOGIES
- 24.3 CONNECTED VEHICLES FROM THE DEPARTMENT OF TRANSPORTATION PERSPECTIVE
- 24.4 POLICY ISSUES AROUND DSRC
- 24.5 ALTERNATIVE FORMS OF V2X COMMUNICATIONS
- 24.6 DOT CONNECTED VEHICLE APPLICATIONS
- 24.7 OTHER CONNECTED VEHICLE APPLICATIONS
- 24.8 MIGRATION PATH FROM CONNECTED AND AUTOMATED TO FULLY AUTONOMOUS VEHICLES
- 24.9 AUTONOMOUS VEHICLE ADOPTION PREDICTIONS
- 24.10 MARKET GROWTH FOR CONNECTED AND AUTONOMOUS VEHICLE TECHNOLOGY
- 24.11 CONNECTED VEHICLES IN THE SMART CITY
- 24.12 ISSUES NOT DISCUSSED IN THIS CHAPTER
- 24.13 CONCLUSION
- REFERENCES
- 25 IN‐VEHICLE HEALTH AND WELLNESS
- 26 INDUSTRIAL INTERNET
- 27 SMART CITY ARCHITECTURE AND PLANNING
- 28 NONREVENUE WATER
- 29 IoT AND SMART INFRASTRUCTURE
- 30 INTERNET OF THINGS AND SMART GRID STANDARDIZATION
- 31 IoT REVOLUTION IN OIL AND GAS INDUSTRY
- 32 MODERNIZING THE MINING INDUSTRY WITH THE INTERNET OF THINGS
- 33 INTERNET OF THINGS (IoT)‐BASED CYBER–PHYSICAL FRAMEWORKS FOR ADVANCED MANUFACTURING AND MEDICINE
-
24 CONNECTED VEHICLE
-
PART V: IoT/DATA ANALYTICS CASE STUDIES
-
34 DEFRAGMENTING INTELLIGENT TRANSPORTATION
- 34.1 INTRODUCTION
- 34.2 THE TRANSPORT INDUSTRY AND SOME LESSONS FROM THE PAST
- 34.3 THE TRANSPORT INDUSTRY: A LONG ROAD TRAVELED
- 34.4 THE TRANSPORT INDUSTRY: CURRENT STATUS AND OUTLOOK
- 34.5 USE CASE: oneTRANSPORT—A SOLUTION TO TODAY’S TRANSPORT FRAGMENTATION
- 34.6 oneTRANSPORT: BUSINESS MODEL
- 34.7 CONCLUSION
- ACKNOWLEDGMENT
- REFERENCES
- 35 CONNECTED AND AUTONOMOUS VEHICLES
- 36 TRANSIT HUB
- 37 SMART HOME SERVICES USING THE INTERNET OF THINGS
- 38 EMOTIONAL INSIGHTS VIA WEARABLES
-
39 A SINGLE PLATFORM APPROACH FOR THE MANAGEMENT OF EMERGENCY IN COMPLEX ENVIRONMENTS SUCH AS LARGE EVENTS, DIGITAL CITIES, AND NETWORKED REGIONS
- 39.1 INTRODUCTION
- 39.2 RESILIENT CITY: SELEX ES SAFETY AND SECURITY APPROACH
- 39.3 CITY OPERATING SYSTEM: PEOPLE, PLACE, AND ORGANIZATION PROTECTION
- 39.4 CYBER SECURITY: KNOWLEDGE PROTECTION
- 39.5 INTELLIGENCE
- 39.6 A SCALABLE SOLUTION FOR LARGE EVENTS, DIGITAL CITIES, AND NETWORKED REGIONS
- 39.7 SELEX ES RELEVANT EXPERIENCES IN SECURITY AND SAFETY MANAGEMENT IN COMPLEX SITUATIONS
- 39.8 CONCLUSION
- APPENDIX 39.A HOW BUILD THE PROPOSITION
- APPENDIX 39.B DETAILS ABOUT REVISION OF THE INITIATIVE
- REFERENCE
- 40 STRUCTURAL HEALTH MONITORING
- 41 HOME HEALTHCARE AND REMOTE PATIENT MONITORING
-
34 DEFRAGMENTING INTELLIGENT TRANSPORTATION
-
PART VI: CLOUD, LEGAL, INNOVATION, AND BUSINESS MODELS
- 42 INTERNET OF THINGS AND CLOUD COMPUTING
- 43 PRIVACY AND SECURITY LEGAL ISSUES
-
44 IoT AND INNOVATION
- 44.1 INTRODUCTION
- 44.2 WHAT IS INNOVATION?
- 44.3 WHY IS INNOVATION IMPORTANT? DRIVERS AND BENEFITS
- 44.4 HOW: THE INNOVATION PROCESS
- 44.5 WHO DOES THE INNOVATION? GOOD INNOVATOR SKILLS
- 44.6 WHEN: IN A PRODUCT CYCLE WHEN DOES INNOVATION TAKES PART?
- 44.7 WHERE: INNOVATION AREAS IN IoT
- 44.8 CONCLUSION
- REFERENCES
- FURTHER READING
- 45 INTERNET OF THINGS BUSINESS MODELS
- INDEX
- END USER LICENSE AGREEMENT
Product information
- Title: Internet of Things and Data Analytics Handbook
- Author(s):
- Release date: January 2017
- Publisher(s): Wiley
- ISBN: 9781119173649
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