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IoT Technical Challenges and Solutions [Kõva köide]

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  • Formaat: Hardback, 200 pages
  • Ilmumisaeg: 30-Nov-2016
  • Kirjastus: Artech House Publishers
  • ISBN-10: 1630811114
  • ISBN-13: 9781630811112
Teised raamatud teemal:
IoT Technical Challenges and SolutionsSuurem pilt
  • Formaat: Hardback, 200 pages
  • Ilmumisaeg: 30-Nov-2016
  • Kirjastus: Artech House Publishers
  • ISBN-10: 1630811114
  • ISBN-13: 9781630811112
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781630811112.html
Märksõnad:
Pal and Purushothaman present readers with a comprehensive examination of the Internet of Things and the challenges it is experiencing as it grows and becomes more of a global platform. The authors cover the Internet of Things as it stands today, the general scalability of networks and computing, security and privacy issues in the Internet of Things, mobile sensing, sensor informatics, business insights, and a great many other related subjects. Arpan Pal is principle scientist at Tata Consultancy Services in India and head of their Kolkata Innovation Lab. Balamuralidhar Purushothaman is is principle scientist at Tata Consultancy Services in India and head of their Bangalore Innovation Lab. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
Preface 13(2)
1 Internet of Things Today 15(26)
1.1 Introduction: Key Trends
15(4)
1.2 Application Landscape for IoT
19(4)
1.2.1 IoT for Facilities
20(1)
1.2.2 IoT for Products
20(1)
1.2.3 IoT for Consumers
21(1)
1.2.4 IoT for the Supply Chain
22(1)
1.3 Technologies of IoT
23(5)
1.3.1 Sensor Subsystem
24(1)
1.3.2 Local Sensor Networks
25(1)
1.3.3 Gateway Subsystem
25(1)
1.3.4 Cloud Connectivity Networks
26(1)
1.3.5 Cloud Subsystem
26(2)
1.4 IoT Standardization
28(4)
1.5 Challenges and Open Problems
32(4)
1.5.1 Handling the Scale
32(1)
1.5.2 Security and Privacy
33(1)
1.5.3 Context-Aware Analytics
34(1)
1.5.4 Affordable Implementation and Deployment
34(1)
1.5.5 Ease and Economy of Development
35(1)
1.5.6 Realistic Deployments
35(1)
1.6 Conclusions
36(1)
References
36(2)
Selected Bibliography
38(3)
2 Scalability of Networks and Computing 41(32)
2.1 Introduction
41(1)
2.2 Use Cases and Requirements
42(5)
2.2.1 Smart Transportation
43(1)
2.2.2 Smart Environment
43(1)
2.2.3 Smart Energy
44(1)
2.2.4 Smart Water
44(1)
2.2.5 Smart Security and Surveillance
45(1)
2.2.6 Smart Retail and Logistics
45(1)
2.2.7 Smart Manufacturing
46(1)
2.2.8 Smart Farming
46(1)
2.2.9 Smart Home
46(1)
2.2.10 Smart Health
47(1)
2.3 Application Classification Templates
47(2)
2.4 Communication Technologies for IoT
49(7)
2.4.1 Personal/Local Area Network Technologies
50(3)
2.4.2 Technologies for Low-Power Wide Area Networks (LPWAN)
53(1)
2.4.3 Cellular Technology for IoT
54(1)
2.4.4 Application-Level Protocols
55(1)
2.5 Scalable Network Architectures for IoT
56(6)
2.5.1 Network Topologies
57(1)
2.5.2 IoT Protocol Design Space
58(1)
2.5.3 Delay-Tolerant Networks
58(2)
2.5.4 Software-Defined Networking (SDN)
60(2)
2.6 Practical Considerations for Scalable IoT System Implementation
62(5)
2.6.1 Real-Time and Power Considerations for IoT Applications
62(2)
2.6.2 Utilizing the Edge Devices for Computing
64(1)
2.6.3 Need for a Platform for Application Development and Deployment
65(2)
2.7 Conclusions
67(1)
References
68(1)
Selected Bibliography
68(5)
3 Security and Privacy 73(36)
3.1 IoT Security: A Perspective
73(2)
3.1.1 Business Objectives of Security
75(1)
3.2 IoT Security: Key Requirements
75(4)
3.3 IoT Security Challenges
79(2)
3.3.1 Typical Threats on Various IoT Subsystems
80(1)
3.4 Data Protection
81(2)
3.5 Communication Security
83(3)
3.5.1 Cryptographic Key Management
84(2)
3.6 Identities and Identity Management
86(1)
3.7 Authentication
87(1)
3.8 Access Control
88(1)
3.9 Secure Software Updates
89(1)
3.10 Privacy in IoT Systems
90(2)
3.11 System-Level Security Assessment
92(8)
3.11.1 Risk-Based Security
92(2)
3.11.2 Threat Modeling and Risk Estimation
94(6)
3.12 IoT Security: Practical Guidelines
100(3)
3.13 Summary
103(1)
References
104(1)
Selected Bibliography
105(4)
4 Sensor Informatics and Business Insights 109(26)
4.1 Introduction
109(2)
4.2 Sensor Signal Processing
111(8)
4.2.1 Signal Acquisition and Conditioning
111(3)
4.2.2 Signal Representation
114(2)
4.2.3 Feature Extraction and Inference
116(3)
4.3 Semantic Interpretation of Processed Information
119(7)
4.3.1 Machine Learning
119(4)
4.3.2 Rule Engine
123(1)
4.3.3 Reasoning
124(2)
4.4 Business Insights from Interpreted Knowledge
126(2)
4.4.1 Visual Analytics
126(1)
4.4.2 Modeling and Simulation
127(1)
4.4.3 Optimization and Planning
127(1)
4.5 Data and Algorithm Marketplaces as New Business Models
128(1)
References
129(3)
Selected Bibliography
132(3)
5 Mobile Sensing 135(22)
5.1 Introduction
135(1)
5.2 Applications and Use Cases for Mobile Sensing
136(7)
5.2.1 Mobile Sensing for Environmental Monitoring
137(1)
5.2.2 Mobile Sensing for Emergency Response
137(1)
5.2.3 Collaborative Sensing for Urban Transportation
138(1)
5.2.4 Robots in Healthcare
138(1)
5.2.5 Robotic Telesensing and Operation
138(1)
5.2.6 Aerial Robots for Spatial Intelligence
139(4)
5.3 Technologies and Challenges in Mobile Sensing
143(9)
5.3.1 Smartphone-Based Sensing
143(4)
5.3.2 Robotic Sensor Networks
147(2)
5.3.3 UAV for Aerial Mapping
149(3)
5.4 Economics of Mobile Sensing
152(2)
5.5 Summary
154(1)
References
154(1)
Selected Bibliography
155(2)
6 Democratizing Analytics: Analytics as a Service 157(20)
6.1 The Need for IoT Analytics
157(4)
6.2 The Need for Analytics as a Service
161(4)
6.3 Analytics as a Service for Developers: Model-Driven IoT
165(3)
6.4 An Example of a Model-Driven IoT Framework
168(4)
6.4.1 Domain Concern
168(1)
6.4.2 Development and Orchestration Concern
169(2)
6.4.3 Infrastructure Concern
171(1)
6.5 Summary
172(1)
References
173(1)
Selected Bibliography
174(3)
7 The Real Internet of Things and Beyond 177(16)
7.1 Realistic Internet of Things
177(4)
7.1.1 Key Contributing Factors to Real IoT
178(3)
7.2 Real IoT Is a Network of Trade-Offs
181(5)
7.2.1 Some of the Common Trade-Offs Encountered in IoT Systems and Applications
182(2)
7.2.2 Safety on the Machine Floor: An Illustrative Example
184(2)
7.3 Drivers for the Next Wave of IoT
186(4)
7.3.1 Resilient IoT Systems
186(1)
7.3.2 Cognitive IoT
187(1)
7.3.3 Impact of 5G as the Next Wave of Communication Technology in IoT
188(2)
7.4 Concluding Remarks
190(1)
References
191(1)
Selected Bibliography
191(2)
About the Authors 193(2)
Index 195
Arpan Pal is principal scientist at Tata Consultancy Services and head of their Kolkata Innovation Lab. He received hisPh.D. in multimedia and communications from Aalborg University in Denmark, his M.Tech in telecommunicationssystems engineering and his B.Tech in electronics and electrical communications engineering from Indian Institute of Technology, Kharagpur, India.Balamuralidhar Purushothaman is principal scientist at Tata Consultancy Services and head of their Bangalore Innovation Lab. He received his Ph.D. in cognitive wireless communications from Aalborg University, Denmark, hisM.Tech in electrical engineering from Indian Institute of Technology, Kanpur, and his B.Tech in electrical engineering from Kerala University, India.