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Introduction to Sensors in IoT and Cloud Computing Applications

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    Book

  • February 2021
  • Bentham Science Publishers Ltd
  • ID: 5305847

Introduction to Sensors in IoT and Cloud Computing Applications provides information about sensors and their applications. Readers are first introduced to the concept of small instruments and their application as sensors. The chapters which follow explain Internet of Things (IoT) architecture while providing notes on the implementation, demonstration and related issues of IoT systems. 

The book continues to explore the topic by providing information about sensor-cloud infrastructure, mobile cloud, fog computing (an extension of cloud computing that takes cloud computing to the cutting-edge of networking where data is produced) and integration of IoT devices with cloud computing. The book also presents notes on the taxonomy of fog-computing systems. 

The six chapters in this book provide essential information for general readers, and students of computer science to understand the basics of cloud computing networks, related concepts and applications.


Table of Contents

Chapter 1 Introduction to Sensors


  • Introduction
  • Background
  • Working of Sensors in Different Applications 3
  • Intrusion Detection
  • Ubiquitous Geo Sensing
  • Commercial Asset Tracking
  • Water Pipe Monitoring
  • Urban Internet
  • Precipitation Monitoring
  • Health Applications
  • Temperature Monitoring
  • Gas Monitoring
  • Power System Monitoring
  • Air Pollution Monitoring
  • Tsunami Detection
  • Soil Monitoring
  • Habitat Surveillance
  • Disaster Emergency Response
  • Structural Monitoring
  • Traffic Monitoring
  • Gully Pot Monitoring
  • Mobile Athlete Monitoring
  • Underground Tunnel Monitoring
  • Wsn Surveillance
  • Iot-Based Applications
  • Issues and Challenges
  • Security
  • Energy
  • Hardware Related Issues
  • Localization
  • Overview of the Book
  • References

Chapter 2 Introduction to Internet-Of-Things (IoT)


  • Introduction
  • Architecture and Working of IoT
  • Resources and Services of IoT
  • Iot Objects
  • Iot Data
  • Use Cases
  • Foreword 2
  • Foreword 3
  • Future Work
  • References

Chapter 3 Mobile Cloud Computing


  • Introduction
  • Taxonomy of Mobile Computing
  • Computation Offloading
  • Multitier Programming
  • Live-Cloud Streaming
  • Remote Data Managing
  • Mobile Cloud Security
  • Data Management Issues
  • Advantages of Mcc
  • Storage
  • Flexibility
  • Cost Efficiency
  • Mobility and Availability
  • Backup and Disaster Recovery
  • Resiliency and Redundancy
  • Scalability and Performance
  • Quick Deployment and Ease Integration
  • Environment-Friendly
  • Applications and Use Cases
  • Challenges
  • Heterogeneity
  • Quality of Service
  • Security and Privacy
  • Future Directions
  • References

Chapter 4 Fog Computing


  • Introduction
  • Taxonomy
  • Fog Node Configuration
  • Nodal Collaboration
  • Resource/Service Provisioning Metric
  • Service Level Objectives (Slo)
  • Applicable Network System
  • Security Concern
  • Future Directions
  • References

Chapter 5 Integration of IoT and Cloud Computing


  • Introduction
  • Characteristics of Integration
  • Scalable
  • Storage
  • Applications
  • Healthcare
  • Challenges
  • Object Identification
  • Authorization and Authentication
  • Security
  • Availability
  • Future Directions
  • References
  • Smart Environment
  • Use Cases
  • Challenges
  • Subject Index

Author

  • Ambika Nagaraj