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Internet of Things and Data Analytics Handbook

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

  1. COVER
  2. TITLE PAGE
  3. LIST OF CONTRIBUTORS
  4. FOREWORD
  5. TECHNICAL ADVISORY BOARD MEMBERS
  6. PREFACE
  7. ACKNOWLEDGMENTS
  8. ABOUT THE COMPANION WEBSITE
  9. PART I: INTERNET OF THINGS
    1. 1 INTERNET OF THINGS AND DATA ANALYTICS IN THE CLOUD WITH INNOVATION AND SUSTAINABILITY
      1. 1.1 INTRODUCTION
      2. 1.2 THE IoT AND THE FOURTH INDUSTRIAL REVOLUTION
      3. 1.3 INTERNET OF THINGS TECHNOLOGY
      4. 1.4 STANDARDS AND PROTOCOLS
      5. 1.5 IoT ECOSYSTEM
      6. 1.6 DEFINITION OF BIG DATA
      7. 1.7 IoT, DATA ANALYTICS, AND CLOUD COMPUTING
      8. 1.8 CREATIVITY, INVENTION, INNOVATION, AND DISRUPTIVE INNOVATION
      9. 1.9 POLYA’S “HOW TO SOLVE IT”
      10. 1.10 BUSINESS PLAN AND BUSINESS MODEL
      11. 1.11 CONCLUSION AND FUTURE PERSPECTIVES
      12. REFERENCES
      13. FURTHER READING
      14. USEFUL WEBSITES
    2. 2 DIGITAL SERVICES AND SUSTAINABLE SOLUTIONS
      1. 2.1 INTRODUCTION
      2. 2.2 WHY IoT IS NOT JUST “NICE TO HAVE”
      3. 2.3 SERVICES IN A DIGITAL REVOLUTION
      4. 2.4 MOBILE DIGITAL SERVICES AND THE HUMAN SENSOR
      5. 2.5 NOT JUST ANOTHER APP
      6. 2.6 THE HIDDEN LIFE OF THINGS
      7. 2.7 THE UMBRELLAS ARE NOT WHAT THEY SEEM
      8. 2.8 INTERACTING WITH THE INVISIBLE
      9. 2.9 SOCIETY AS OPEN SOURCE
      10. 2.10 LEARN FROM YOUR HACKERS
      11. 2.11 ENSURING HIGH‐QUALITY SERVICES TO CITIZENS
      12. 2.12 GOVERNMENT AS A PLATFORM
      13. 2.13 CONCLUSION
      14. REFERENCES
    3. 3 THE INDUSTRIAL INTERNET OF THINGS (IIoT)
      1. 3.1 INTRODUCTION TO THE IIoT
      2. 3.2 SOME EXAMPLES OF IIoT APPLICATIONS
      3. 3.3 TOWARD A TAXONOMY OF THE IIoT
      4. 3.4 STANDARDS AND PROTOCOLS FOR CONNECTIVITY
      5. 3.5 CONNECTIVITY ARCHITECTURE FOR THE IIoT
      6. 3.6 DATA‐CENTRICITY MAKES DDS DIFFERENT
      7. 3.7 THE FUTURE OF THE IIoT
      8. REFERENCES
    4. 4 STRATEGIC PLANNING FOR SMARTER CITIES
      1. 4.1 INTRODUCTION
      2. 4.2 WHAT IS A SMART CITY?
      3. 4.3 SMART CITIES AND THE INTERNET OF THINGS
      4. 4.4 WHY STRATEGIC PLANNING MATTERS
      5. 4.5 BEGINNING THE JOURNEY: FIRST THINGS FIRST
      6. 4.6 FROM VISION TO OBJECTIVES TO EXECUTION
      7. 4.7 PULLING IT ALL TOGETHER
      8. REFERENCES
    5. 5 NEXT‐GENERATION LEARNING
      1. 5.1 INTRODUCTION
      2. 5.2 LEARNING, ANALYTICS, AND INTERNET OF THINGS
      3. 5.3 IoT LEARNING DESIGN PROCESS
      4. 5.4 CONCLUSION
      5. REFERENCES
      6. FURTHER READING
    6. 6 THE BRAIN–COMPUTER INTERFACE IN THE INTERNET OF THINGS
      1. 6.1 INTRODUCTION
      2. 6.2 THE SCIENCE BEHIND READING THE BRAIN
      3. 6.3 THE SCIENCE OF WRITING TO THE BRAIN
      4. 6.4 THE HUMAN CONNECTOME PROJECT
      5. 6.5 CONSUMER ELECTROENCEPHALOGRAPHY DEVICES
      6. 6.6 SUMMARY
      7. REFERENCES
    7. 7 IoT INNOVATION PULSE
      1. 7.1 THE CONVERGENCE OF EXPONENTIAL TECHNOLOGIES AS A DRIVER OF INNOVATION
      2. 7.2 SIX DIMENSIONS OF THE PLECOSYSTEM
      3. 7.3 FIVE PRINCIPLES OF THE PLECOSYSTEM
      4. 7.4 THE BIOLOGIC ORGANISM ANALOGY FOR THE IoT
      5. 7.5 COMPONENTS FOR INNOVATION WITH THE ORGANISMAL ANALOG
      6. 7.6 SPINOZAN VALUE TRADE‐OFFS
      7. 7.7 HUMAN IoT SENSOR NETWORKS
      8. 7.8 ROLE OF THE IoT IN SOCIAL NETWORKS
      9. 7.9 SECURITY AND CYBERTHREAT RESILIENCE
      10. 7.10 IoT OPTIMIZATION FOR SUSTAINABILITY OF OUR PLANET
      11. 7.11 MAINTENANCE OF COMPLEX IoT NETWORKS
      12. 7.12 THE ACCORDION MODEL OF LEARNING AS A SOURCE OF INNOVATION
      13. 7.13 SUMMARY
      14. REFERENCES
      15. FURTHER READING
  10. PART II: INTERNET OF THINGS TECHNOLOGIES
    1. 8 INTERNET OF THINGS OPEN‐SOURCE SYSTEMS
      1. 8.1 INTRODUCTION
      2. 8.2 BACKGROUND OF OPEN SOURCE
      3. 8.3 DRIVERS FOR OPEN SOURCE
      4. 8.4 BENEFITS OF USING OPEN SOURCE
      5. 8.5 IoT OPEN‐SOURCE CONSORTIUMS AND PROJECTS
      6. 8.6 FINDING THE RIGHT OPEN‐SOURCE PROJECT FOR THE JOB
      7. 8.7 CONCLUSION
      8. REFERENCES
      9. FURTHER READING
    2. 9 MEMS: AN ENABLING TECHNOLOGY FOR THE INTERNET OF THINGS (IoT)
      1. 9.1 THE ABILITY TO SENSE, ACTUATE, AND CONTROL
      2. 9.2 WHAT ARE MEMS?
      3. 9.3 MEMS AS AN ENABLING TECHNOLOGY FOR THE IoT
      4. 9.4 MEMS MANUFACTURING TECHNIQUES
      5. 9.5 EXAMPLES OF MEMS SENSORS
      6. 9.6 EXAMPLE OF MEMS ACTUATOR
      7. 9.7 THE FUTURE OF MEMS FOR THE IoT
      8. 9.8 CONCLUSION
      9. REFERENCES
      10. OTHER INFORMATION
    3. 10 ELECTRO‐OPTICAL INFRARED SENSOR TECHNOLOGIES FOR THE INTERNET OF THINGS
      1. 10.1 INTRODUCTION
      2. 10.2 SENSOR ANATOMY AND TECHNOLOGIES
      3. 10.3 DESIGN CONSIDERATIONS
      4. 10.4 APPLICATIONS
      5. 10.5 CONCLUSION
      6. REFERENCES
      7. FURTHER READING
    4. 11 IPv6 FOR IoT AND GATEWAY
      1. 11.1 INTRODUCTION
      2. 11.2 IP: THE INTERNET PROTOCOL
      3. 11.3 IPv6: THE NEXT INTERNET PROTOCOL
      4. 11.4 6LoWPAN: IP FOR IoT
      5. 11.5 GATEWAYS: A BAD CHOICE
      6. 11.6 EXAMPLE IoT SYSTEMS
      7. 11.7 AN IoT DATA MODEL
      8. 11.8 THE PROBLEM OF DATA OWNERSHIP
      9. 11.9 MANAGING THE LIFE OF AN IoT DEVICE
      10. 11.10 CONCLUSION: LOOKING FORWARD
      11. FURTHER READING
    5. 12 WIRELESS SENSOR NETWORKS
      1. 12.1 INTRODUCTION
      2. 12.2 CHARACTERISTICS OF WIRELESS SENSOR NETWORKS
      3. 12.3 DISTRIBUTED COMPUTING
      4. 12.4 PARALLEL COMPUTING
      5. 12.5 SELF‐ORGANIZING NETWORKS
      6. 12.6 OPERATING SYSTEMS FOR SENSOR NETWORKS
      7. 12.7 WEB OF THINGS (WoT)
      8. 12.8 WIRELESS SENSOR NETWORK ARCHITECTURE
      9. 12.9 MODULARIZING THE WIRELESS SENSOR NODES
      10. 12.10 CONCLUSION
      11. REFERENCES
      12. FURTHER READING
    6. 13 NETWORKING PROTOCOLS AND STANDARDS FOR INTERNET OF THINGS
      1. 13.1 INTRODUCTION
      2. 13.2 IoT DATA LINK PROTOCOLS
      3. 13.3 NETWORK LAYER ROUTING PROTOCOLS
      4. 13.4 NETWORK LAYER ENCAPSULATION PROTOCOLS
      5. 13.5 SESSION LAYER PROTOCOLS
      6. 13.6 IoT MANAGEMENT PROTOCOLS
      7. 13.7 SECURITY IN IoT PROTOCOLS
      8. 13.8 IoT CHALLENGES
      9. 13.9 SUMMARY
      10. REFERENCES
    7. 14 IoT ARCHITECTURE
      1. 14.1 INTRODUCTION
      2. 14.2 ARCHITECTURAL APPROACHES
      3. 14.3 BUSINESS MARKITECTURE
      4. 14.4 FUNCTIONAL ARCHITECTURE
      5. 14.5 APPLICATION ARCHITECTURE
      6. 14.6 DATA AND ANALYTICS ARCHITECTURE
      7. 14.7 TECHNOLOGY ARCHITECTURE
      8. 14.8 SECURITY AND GOVERNANCE
      9. REFERENCES
    8. 15 A DESIGNER’S GUIDE TO THE INTERNET OF WEARABLE THINGS
      1. 15.1 INTRODUCTION
      2. 15.2 INTERFACE GLANCEABILITY
      3. 15.3 THE RIGHT DATA AT THE RIGHT TIME
      4. 15.4 CONSISTENCY ACROSS CHANNELS
      5. 15.5 FROM PUBLIC TO PERSONAL
      6. 15.6 NONVISUAL UI
      7. 15.7 EMERGING PATTERNS
      8. 15.8 CONCLUSION
      9. REFERENCES
      10. FURTHER READING
    9. 16 BEACON TECHNOLOGY WITH IoT AND BIG DATA
      1. 16.1 INTRODUCTION TO BEACONS
      2. 16.2 WHAT IS BEACON TECHNOLOGY
      3. 16.3 BEACON AND BLE INTERACTION
      4. 16.4 WHERE BEACON TECHNOLOGY CAN BE APPLIED/USED
      5. 16.5 BIG DATA AND BEACONS
      6. 16.6 SAN FRANCISCO INTERNATIONAL AIRPORT (SFO)
      7. 16.7 FUTURE TRENDS AND CONCLUSION
      8. REFERENCES
    10. 17 SCADA FUNDAMENTALS AND APPLICATIONS IN THE IoT
      1. 17.1 INTRODUCTION
      2. 17.2 WHAT EXACTLY IS SCADA?
      3. 17.3 WHY IS SCADA THE RIGHT FOUNDATION FOR AN IoT PLATFORM?
      4. 17.4 CASE STUDY: ALGAE LAB SYSTEMS
      5. 17.5 THE FUTURE OF SCADA AND THE POTENTIAL OF THE IoT
      6. REFERENCES
      7. FURTHER READING
  11. PART III: DATA ANALYTICS TECHNOLOGIES
    1. 18 DATA ANALYSIS AND MACHINE LEARNING EFFORT IN HEALTHCARE
      1. 18.1 INTRODUCTION
      2. 18.2 DATA SCIENCE PROBLEMS IN HEALTHCARE
      3. 18.3 QUALIFICATIONS AND PERSONNEL IN DATA SCIENCE
      4. 18.4 DATA ACQUISITION AND TRANSFORMATION
      5. 18.5 BASIC PRINCIPLES OF MACHINE LEARNING
      6. 18.6 CASE STUDY: PREDICTION OF RARE EVENTS ON NONSPECIFIC DATA
      7. 18.7 FINAL REMARKS
      8. REFERENCES
    2. 19 DATA ANALYTICS AND PREDICTIVE ANALYTICS IN THE ERA OF BIG DATA
      1. 19.1 DATA ANALYTICS AND PREDICTIVE ANALYTICS
      2. 19.2 BIG DATA AND IMPACT TO ANALYTICS
      3. 19.3 CONCLUSION
      4. REFERENCES
    3. 20 STRATEGY DEVELOPMENT AND BIG DATA ANALYTICS
      1. 20.1 INTRODUCTION
      2. 20.2 MAXIMIZING THE INFLUENCE OF INTERNAL INPUTS FOR STRATEGY DEVELOPMENT
      3. 20.3 A HIGHER EDUCATION CASE STUDY
      4. 20.4 MAXIMIZING THE INFLUENCE OF EXTERNAL INPUTS FOR STRATEGY DEVELOPMENT
      5. 20.5 CONCLUSION
      6. REFERENCES
      7. FURTHER READING
    4. 21 RISK MODELING AND DATA SCIENCE
      1. 21.1 INTRODUCTION
      2. 21.2 WHAT IS RISK MODELING
      3. 21.3 THE ROLE OF DATA SCIENCE IN RISK MANAGEMENT
      4. 21.4 HOW TO PREPARE AND VALIDATE RISK MODEL
      5. 21.5 TIPS AND LESSONS LEARNED
      6. 21.6 FUTURE TRENDS AND CONCLUSION
      7. REFERENCES
    5. 22 HADOOP TECHNOLOGY
      1. 22.1 INTRODUCTION
      2. 22.2 WHAT IS HADOOP TECHNOLOGY AND APPLICATION?
      3. 22.3 WHY HADOOP?
      4. 22.4 HADOOP ARCHITECTURE
      5. 22.5 HDFS: WHAT AND HOW TO USE IT
      6. 22.6 YARN: WHAT AND HOW TO USE IT
      7. 22.7 MapReduce: WHAT AND HOW TO USE IT
      8. 22.8 APACHE: WHAT AND HOW TO USE IT
      9. 22.9 FUTURE TREND AND CONCLUSION
      10. REFERENCES
    6. 23 SECURITY OF IoT DATA
      1. 23.1 INTRODUCTION
      2. 23.2 IoT DATA IN HADOOP
      3. 23.3 SECURITY IN IoT PLATFORMS BUILT ON HADOOP
      4. 23.4 ARCHITECTURAL CONSIDERATIONS FOR IMPLEMENTING SECURITY IN HADOOP
      5. 23.5 BREADTH OF CONTROL
      6. 23.6 CONTEXT FOR SECURITY
      7. 23.7 SECURITY POLICIES AND RULES BASED ON PxP ARCHITECTURE
      8. 23.8 CONCLUSION
      9. REFERENCES
  12. PART IV: SMART EVERYTHING
    1. 24 CONNECTED VEHICLE
      1. 24.1 INTRODUCTION
      2. 24.2 CONNECTED, AUTOMATED, AND AUTONOMOUS VEHICLE TECHNOLOGIES
      3. 24.3 CONNECTED VEHICLES FROM THE DEPARTMENT OF TRANSPORTATION PERSPECTIVE
      4. 24.4 POLICY ISSUES AROUND DSRC
      5. 24.5 ALTERNATIVE FORMS OF V2X COMMUNICATIONS
      6. 24.6 DOT CONNECTED VEHICLE APPLICATIONS
      7. 24.7 OTHER CONNECTED VEHICLE APPLICATIONS
      8. 24.8 MIGRATION PATH FROM CONNECTED AND AUTOMATED TO FULLY AUTONOMOUS VEHICLES
      9. 24.9 AUTONOMOUS VEHICLE ADOPTION PREDICTIONS
      10. 24.10 MARKET GROWTH FOR CONNECTED AND AUTONOMOUS VEHICLE TECHNOLOGY
      11. 24.11 CONNECTED VEHICLES IN THE SMART CITY
      12. 24.12 ISSUES NOT DISCUSSED IN THIS CHAPTER
      13. 24.13 CONCLUSION
      14. REFERENCES
    2. 25 IN‐VEHICLE HEALTH AND WELLNESS
      1. 25.1 INTRODUCTION
      2. 25.2 HEALTH AND WELLNESS ENABLER TECHNOLOGIES INSIDE THE CAR
      3. 25.3 HEALTH AND WELLNESS AS AUTOMOTIVE FEATURES
      4. 25.4 TOP CHALLENGES FOR HEALTH AND WELLNESS
      5. 25.5 SUMMARY AND FUTURE DIRECTIONS
      6. REFERENCES
    3. 26 INDUSTRIAL INTERNET
      1. 26.1 INTRODUCTION (HISTORY, WHY, AND BENEFITS)
      2. 26.2 DEFINITIONS OF COMPONENTS AND FUNDAMENTALS OF INDUSTRIAL INTERNET
      3. 26.3 APPLICATION IN HEALTHCARE
      4. 26.4 APPLICATION IN ENERGY
      5. 26.5 APPLICATION IN TRANSPORT/AVIATION AND OTHERS
      6. 26.6 CONCLUSION AND FUTURE DEVELOPMENT
      7. FURTHER READING
    4. 27 SMART CITY ARCHITECTURE AND PLANNING
      1. 27.1 INTRODUCTION
      2. 27.2 CITIES AND THE ADVENT OF OPEN DATA
      3. 27.3 BUILDINGS IN SMARTER CITIES
      4. 27.4 THE TRIFECTA OF TECHNOLOGY
      5. 27.5 EMERGING SOLUTIONS: UNDERSTANDING SYSTEMS
      6. 27.6 CONCLUSION
      7. REFERENCES
      8. FURTHER READING
    5. 28 NONREVENUE WATER
      1. 28.1 INTRODUCTION AND BACKGROUND
      2. 28.2 NRW ANATOMY
      3. 28.3 ECONOMY AND CONSERVATION
      4. 28.4 BEST PRACTICE STANDARD WATER BALANCE
      5. 28.5 NRW CONTROL AND AUDIT
      6. 28.6 LESSONS LEARNED
      7. 28.7 CASE STUDIES
      8. 28.8 THE FUTURE OF NONREVENUE WATER REDUCTION
      9. 28.9 CONCLUSION
      10. REFERENCES
    6. 29 IoT AND SMART INFRASTRUCTURE
      1. 29.1 INTRODUCTION
      2. 29.2 ENGINEERING DECISIONS
      3. 29.3 CONCLUSION
      4. REFERENCES
      5. FURTHER READING
    7. 30 INTERNET OF THINGS AND SMART GRID STANDARDIZATION
      1. 30.1 INTRODUCTION AND BACKGROUND
      2. 30.2 DIGITAL ENERGY ACCELERATED BY THE INTERNET OF THINGS
      3. 30.3 SMART GRID POWER SYSTEMS AND STANDARDS
      4. 30.4 LEVERAGING IoTs AND SMART GRID STANDARDS
      5. 30.5 CONCLUSIONS AND RECOMMENDATIONS
      6. REFERENCES
    8. 31 IoT REVOLUTION IN OIL AND GAS INDUSTRY
      1. 31.1 INTRODUCTION
      2. 31.2 WHAT IS IoT REVOLUTION IN OIL AND GAS INDUSTRY?
      3. 31.3 CASE STUDY
      4. 31.4 CONCLUSION
      5. REFERENCES
    9. 32 MODERNIZING THE MINING INDUSTRY WITH THE INTERNET OF THINGS
      1. 32.1 INTRODUCTION
      2. 32.2 HOW IoT WILL IMPACT THE MINING INDUSTRY
      3. 32.3 CASE STUDY
      4. 32.4 CONCLUSION
      5. FURTHER READING
    10. 33 INTERNET OF THINGS (IoT)‐BASED CYBER–PHYSICAL FRAMEWORKS FOR ADVANCED MANUFACTURING AND MEDICINE
      1. 33.1 INTRODUCTION
      2. 33.2 MANUFACTURING AND MEDICAL APPLICATION CONTEXTS
      3. 33.3 OVERVIEW OF IoT‐BASED CYBER–PHYSICAL FRAMEWORK
      4. 33.4 CASE STUDIES IN MANUFACTURING AND MEDICINE
      5. 33.5 CONCLUSION: CHALLENGES, ROAD MAP FOR THE FUTURE
      6. ACKNOWLEDGMENTS
      7. REFERENCES
  13. PART V: IoT/DATA ANALYTICS CASE STUDIES
    1. 34 DEFRAGMENTING INTELLIGENT TRANSPORTATION
      1. 34.1 INTRODUCTION
      2. 34.2 THE TRANSPORT INDUSTRY AND SOME LESSONS FROM THE PAST
      3. 34.3 THE TRANSPORT INDUSTRY: A LONG ROAD TRAVELED
      4. 34.4 THE TRANSPORT INDUSTRY: CURRENT STATUS AND OUTLOOK
      5. 34.5 USE CASE: oneTRANSPORT—A SOLUTION TO TODAY’S TRANSPORT FRAGMENTATION
      6. 34.6 oneTRANSPORT: BUSINESS MODEL
      7. 34.7 CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
    2. 35 CONNECTED AND AUTONOMOUS VEHICLES
      1. 35.1 BRIEF HISTORY OF AUTOMATED AND CONNECTED DRIVING
      2. 35.2 AUTOMATED DRIVING TECHNOLOGY
      3. 35.3 CONNECTED VEHICLE TECHNOLOGY AND THE CV PILOTS
      4. 35.4 AUTOMATED TRUCK CONVOYS
      5. 35.5 ON‐DEMAND AUTOMATED SHUTTLES FOR A SMART CITY
      6. 35.6 A UNIFIED DESIGN APPROACH
      7. 35.7 ACRONYM AND DESCRIPTION
      8. REFERENCES
    3. 36 TRANSIT HUB
      1. 36.1 INTRODUCTION
      2. 36.2 CHALLENGES
      3. 36.3 INTEGRATED SENSORS
      4. 36.4 TRANSIT HUB SYSTEM WITH MOBILE APPS AND SMART KIOSKS
      5. 36.5 CONCLUSION
      6. ACKNOWLEDGMENTS
      7. REFERENCES
    4. 37 SMART HOME SERVICES USING THE INTERNET OF THINGS
      1. 37.1 INTRODUCTION
      2. 37.2 WHAT MATTERS?
      3. 37.3 IoT FOR THE MASSES
      4. 37.4 LIFESTYLE SECURITY EXAMPLES
      5. 37.5 MARKET SIZE
      6. 37.6 CHARACTERISTICS OF AN IDEAL SYSTEM
      7. 37.7 IoT TECHNOLOGY
      8. 37.8 CONCLUSION
    5. 38 EMOTIONAL INSIGHTS VIA WEARABLES
      1. 38.1 INTRODUCTION
      2. 38.2 MEASURING EMOTIONS: WHAT ARE THEY?
      3. 38.3 MEASURING EMOTIONS: HOW DOES IT WORK?
      4. 38.4 LEADERS IN EMOTIONAL UNDERSTANDING
      5. 38.5 THE PHYSIOLOGY OF EMOTION
      6. 38.6 WHY BOTHER MEASURING EMOTIONS?
      7. 38.7 USE CASE 1
      8. 38.8 USE CASE 2
      9. 38.9 USE CASE 3
      10. 38.10 CONCLUSION
      11. FURTHER READING
    6. 39 A SINGLE PLATFORM APPROACH FOR THE MANAGEMENT OF EMERGENCY IN COMPLEX ENVIRONMENTS SUCH AS LARGE EVENTS, DIGITAL CITIES, AND NETWORKED REGIONS
      1. 39.1 INTRODUCTION
      2. 39.2 RESILIENT CITY: SELEX ES SAFETY AND SECURITY APPROACH
      3. 39.3 CITY OPERATING SYSTEM: PEOPLE, PLACE, AND ORGANIZATION PROTECTION
      4. 39.4 CYBER SECURITY: KNOWLEDGE PROTECTION
      5. 39.5 INTELLIGENCE
      6. 39.6 A SCALABLE SOLUTION FOR LARGE EVENTS, DIGITAL CITIES, AND NETWORKED REGIONS
      7. 39.7 SELEX ES RELEVANT EXPERIENCES IN SECURITY AND SAFETY MANAGEMENT IN COMPLEX SITUATIONS
      8. 39.8 CONCLUSION
      9. APPENDIX 39.A HOW BUILD THE PROPOSITION
      10. APPENDIX 39.B DETAILS ABOUT REVISION OF THE INITIATIVE
      11. REFERENCE
    7. 40 STRUCTURAL HEALTH MONITORING
      1. 40.1 INTRODUCTION
      2. 40.2 REQUIREMENT
      3. 40.3 ENGINEERING DECISIONS
      4. 40.4 IMPLEMENTATION
      5. 40.5 CONCLUSION
      6. REFERENCES
      7. FURTHER READING
    8. 41 HOME HEALTHCARE AND REMOTE PATIENT MONITORING
      1. 41.1 INTRODUCTION
      2. 41.2 WHAT THE CASE STUDY IS ABOUT
      3. 41.3 WHO ARE THE PARTIES IN THE CASE STUDY
      4. 41.4 LIMITATION, BUSINESS CASE, AND TECHNOLOGY APPROACH
      5. 41.5 SETUP AND WORKFLOW PLAN
      6. 41.6 WHAT ARE THE SUCCESS STORIES IN THE CASE STUDY
      7. 41.7 WHAT LESSONS LEARNED TO BE IMPROVED
      8. FURTHER READING
  14. PART VI: CLOUD, LEGAL, INNOVATION, AND BUSINESS MODELS
    1. 42 INTERNET OF THINGS AND CLOUD COMPUTING
      1. 42.1 INTRODUCTION
      2. 42.2 WHAT IS CLOUD COMPUTING?
      3. 42.3 CLOUD COMPUTING AND IoT
      4. 42.4 COMMON IoT APPLICATION SCENARIOS
      5. 42.5 CLOUD SECURITY AND IoT
      6. 42.6 CLOUD COMPUTING AND MAKERS
      7. 42.7 AN EXAMPLE SCENARIO
      8. 42.8 CONCLUSION
      9. REFERENCES
    2. 43 PRIVACY AND SECURITY LEGAL ISSUES
      1. 43.1 UNIQUE CHARACTERISTICS
      2. 43.2 PRIVACY ISSUES
      3. 43.3 DATA MINIMIZATION
      4. 43.4 DEIDENTIFICATION
      5. 43.5 DATA SECURITY
      6. 43.6 PROFILING ISSUES
      7. 43.7 RESEARCH AND ANALYTICS
      8. 43.8 IoT AND DA ABROAD
      9. REFERENCES
    3. 44 IoT AND INNOVATION
      1. 44.1 INTRODUCTION
      2. 44.2 WHAT IS INNOVATION?
      3. 44.3 WHY IS INNOVATION IMPORTANT? DRIVERS AND BENEFITS
      4. 44.4 HOW: THE INNOVATION PROCESS
      5. 44.5 WHO DOES THE INNOVATION? GOOD INNOVATOR SKILLS
      6. 44.6 WHEN: IN A PRODUCT CYCLE WHEN DOES INNOVATION TAKES PART?
      7. 44.7 WHERE: INNOVATION AREAS IN IoT
      8. 44.8 CONCLUSION
      9. REFERENCES
      10. FURTHER READING
    4. 45 INTERNET OF THINGS BUSINESS MODELS
      1. 45.1 INTRODUCTION
      2. 45.2 IoT BUSINESS MODEL FRAMEWORK REVIEW
      3. 45.3 FRAMEWORK DEVELOPMENT
      4. 45.4 CASE STUDIES
      5. 45.5 DISCUSSION AND SUMMARY
      6. 45.6 LIMITATIONS AND FUTURE RESEARCH
      7. REFERENCES
  15. INDEX
  16. END USER LICENSE AGREEMENT