IoT Technical Challenges and Solutions
Published on 1. January 2016
200 pages
978-1-63081-437-3 (ISBN)
Description
This practical resource highlights the systematic problems Internet of Things is encountering on its journey to mass adoption. Professionals are offered solutions to key questions about IoT systems today, including potential network scalability issues, storage, and computing. Security and privacy are explored and the value of sensor-collected data is explained. Costs of deployment and transformation are covered and the model-driven deployment of IoT systems is explored. Presenting a pragmatic real-world approach to IoT, this book covers technology components such as communication, computing, storage and mobility, as well as business insights and social implications.
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Arpan Pal | Balamuralidhar Purushothaman
IoT Technical Challenges and Solutions
Book
11/2016
Artech House Publishers
€141.13
Shipment within 10-20 days
Content
- Intro
- IoT Technical Challenges and Solutions
- Contents
- Preface
- 1 Internet of Things Today
- 1.1 Introduction: Key Trends
- 1.2 Application Landscape for IoT
- 1.2.1 IoT for Facilities
- 1.2.2 IoT for Products
- 1.2.3 IoT for Consumers
- 1.2.4 IoT for the Supply Chain
- 1.3 Technologies of IoT
- 1.3.1 Sensor Subsystem
- 1.3.2 Local Sensor Networks
- 1.3.3 Gateway Subsystem
- 1.3.4 Cloud Connectivity Networks
- 1.3.5 Cloud Subsystem
- 1.4 IoT Standardization
- 1.5 Challenges and Open Problems
- 1.5.1 Handling the Scale
- 1.5.2 Security and Privacy
- 1.5.3 Context-Aware Analytics
- 1.5.4 Affordable Implementation and Deployment
- 1.5.5 Ease and Economy of Development
- 1.5.6 Realistic Deployments
- 1.6 Conclusions
- References
- Selected Bibliography
- 2 Scalability of Networks and Computing
- 2.1 Introduction
- 2.2 Use Cases and Requirements
- 2.2.1 Smart Transportation
- 2.2.2 Smart Environment
- 2.2.3 Smart Energy
- 2.2.4 Smart Water
- 2.2.5 Smart Security and Surveillance
- 2.2.6 Smart Retail and Logistics
- 2.2.7 Smart Manufacturing
- 2.2.8 Smart Farming
- 2.2.9 Smart Home
- 2.2.10 Smart Health
- 2.3 Application Classification Templates
- 2.4 Communication Technologies for IoT
- 2.4.1 Personal/Local Area Network Technologies
- 2.3.2 Technologies for Low-Power Wide Area Networks (LPWAN)
- 2.3.3 Cellular Technology for IoT
- 2.4.4 Application-Level Protocols
- 2.5 Scalable Network Architectures for IoT
- 2.5.1 Network Topologies
- 2.5.2 IoT Protocol Design Space
- 2.5.3 Delay-Tolerant Networks
- 2.5.4 Software-Defined Networking (SDN)
- 2.6 Practical Considerations for Scalable IoT System Implementation
- 2.6.1 Real-Time and Power Considerations for IoT Applications
- 2.6.2 Utilizing the Edge Devices for Computing
- 2.6.3 Need for a Platform for Application Development and Deployment
- 2.7 Conclusions
- References
- Selected Bibliography
- 3 Security and Privacy
- 3.1 IoT Security: A Perspective
- 3.1.1 Business Objectives of Security
- 3.2 IoT Security: Key Requirements
- 3.3 IoT Security Challenges
- 3.3.1 Typical Threats on Various IoT Subsystems
- 3.4 Data Protection
- 3.5 Communication Security
- 3.5.1 Cryptographic Key Management
- 3.6 Identities and Identity Management
- 3.7 Authentication
- 3.8 Access Control
- 3.9 Secure Software Updates
- 3.10 Privacy in IoT Systems
- 3.11 System-Level Security Assessment
- 3.11.1 Risk-Based Security
- 3.11.2 Threat Modeling and Risk Estimation
- 3.12 IoT Security: Practical Guidelines
- 3.13 Summary
- References
- Selected Bibliography
- 4 Sensor Informatics and Business Insights
- 4.1 Introduction
- 4.2 Sensor Signal Processing
- 4.2.1 Signal Acquisition and Conditioning
- 4.2.2 Signal Representation
- 4.2.3 Feature Extraction and Inference
- 4.3 Semantic Interpretation of Processed Information
- 4.3.1 Machine Learning
- 4.3.2 Rule Engine
- 4.3.3 Reasoning
- 4.4 Business Insights from Interpreted Knowledge
- 4.4.1 Visual Analytics
- 4.4.2 Modeling and Simulation
- 4.4.3 Optimization and Planning
- 4.5 Data and Algorithm Marketplaces as New Business Models
- References
- Selected Bibliography
- 5 Mobile Sensing
- 5.1 Introduction
- 5.2 Applications and Use Cases for Mobile Sensing
- 5.2.1 Mobile Sensing for Environmental Monitoring
- 5.2.2 Mobile Sensing for Emergency Response
- 5.2.3 Collaborative Sensing for Urban Transportation
- 5.2.4 Robots in Healthcare
- 5.2.5 Robotic Telesensing and Operation
- 5.2.6 Aerial Robots for Spatial Intelligence
- 5.3 Technologies and Challenges in Mobile Sensing
- 5.3.1 Smartphone-Based Sensing
- 5.3.2 Robotic Sensor Networks
- 5.3.3 UAV for Aerial Mapping
- 5.4 Economics of Mobile Sensing
- 5.5 Summary
- References
- Selected Bibliography
- 6 Democratizing Analytics: Analytics as a Service
- 6.1 The Need for IoT Analytics
- 6.2 The Need for Analytics as a Service
- 6.3 Analytics as a Service for Developers: Model-Driven IoT
- 6.4 An Example of a Model-Driven IoT Framework
- 6.4.1 Domain Concern
- 6.4.2 Development and Orchestration Concern
- 6.4.3 Infrastructure Concern
- 6.5 Summary
- References
- Selected Bibliography
- 7 The Real Internet of Things and Beyond
- 7.1 Realistic Internet of Things
- 7.1.1 Key Contributing Factors to Real IoT
- 7.2 Real IoT Is a Network of Trade-Offs
- 7.2.1 Some of the Common Trade-Offs Encountered in IoT Systems and Applications
- 7.2.2 Safety on the Machine Floor: An Illustrative Example
- 7.3 Drivers for the Next Wave of IoT
- 7.3.1 Resilient IoT Systems
- 7.3.2 Cognitive IoT
- 7.3.3 Impact of 5G as the Next Wave of Communication Technology in IoT
- 7.4 Concluding Remarks
- References
- Selected Bibliography
- About the Authors
- Index
