Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges
- 190 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges
About This Book
In today's world, the use of technology is growing rapidly, and people need effective solutions for their real-life problems. This book discusses smart applications of associated technologies to develop cohesive and comprehensive solutions for the betterment of humankind. It comprehensively covers the effective use of the Internet of Things (IoT), wireless sensor network, wearable sensors, body area network, cloud computing, and distributed computing methodologies. The book comprehensively covers IoT and fog computing sensor supported technologies or protocols including web of things, near-field communication, 6LoWPAN, LoRAWAN, XMPP, DDS, LwM2M, Mesh Protocol, and radio-frequency identification.
The book-
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- Discusses smart applications to develop cohesive and comprehensive solutions for real-life problems.
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- Covers analytical descriptions with appropriate simulation and prototype models.
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- Examines the role of IoT and fog computing technologies during global emergency situations.
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- Discusses key technologies including cloud computing, 5G communication, big data, artificial intelligence, control systems, and wearable sensors.
The text is primarily written for graduate students, and academic researchers working in diverse fields of electrical engineering, biomedical engineering, electronics and communication engineering, computer engineering, and information technology.
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Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- About the editors
- List of Contributors
- Chapter 1 Fog computing fundamentals in the Internet of Things: A taxonomy, survey, and future directions
- Chapter 2 Role of IoT to control the movement of infections during pandemic
- Chapter 3 Internet of Things (IoT)-based smart farming system: A broad study of emerging technologies
- Chapter 4 IoT and FOG space-time Particulate Matter (PM2.5) concentration forecasting for IoT-based air pollution monitoring systems
- Chapter 5 Model predictive-based control for supplies of medicines during COVID-19
- Chapter 6 Role of swarm intelligence for health monitoring and related actions
- Chapter 7 Real-time implementation of an implantable antenna using chicken swarm optimization for IoT-based wearable healthcare applications
- Chapter 8 Intelligent traffic light systems for the smart cities
- Chapter 9 Case study on fog computing with the integration of Internet of Things: Applications, challenges, and future directions
- Chapter 10 Virtual health management through IoT
- Index