<span>This book provides solution for challenges facing engineers in urban environments looking towards smart development and IoT. The authors address the challenges faced in developing smart applications along with the solutions. Topics addressed include reliability, security and financial issues i
Internet of Things for Smart Environments (EAI/Springer Innovations in Communication and Computing)
✍ Scribed by Gonçalo Marques (editor), Alfonso González-Briones (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 137
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.
✦ Table of Contents
Preface
About the Book
Contents
Smart Learning Environments: Overview of Effective Tools, Methods, and Models
1 Introduction
2 Learning Methods
2.1 Mobile Learning
2.2 Open Education Resources
2.3 Online Courses
2.4 Cloud Platforms
2.5 Adaptive Learning
3 Models of Digital Learning Environments
3.1 Connectivism Model
3.2 RAT (Replacement, Amplification, Transformation) Model
3.3 TPACK (Technological Pedagogical Content Knowledge) Model
3.4 SAMR (Substitution Augmentation Modification Redefinition) Model
3.5 ADDIE (Analyzing Design Development Implementation Evaluation) Model
4 Hybrid School Models
5 Conclusion
References
IoT for Smart Environment Applications
1 Introduction
2 Smart City Attributes
3 IoT Smart City Architecture
4 IoT Application
4.1 Healthcare System
4.2 IoT-Based Marketing
4.2.1 Amazon Go
4.3 Disaster Recovery
4.4 Military
4.5 Transportation
5 Real Implementation of Smart City
6 Discussion
7 Conclusion
References
IoT-Based Crowdsensing for Smart Environments
1 Introduction
2 Smart City Application
2.1 Smart Home
2.2 Health Monitoring
2.3 Traffic and Road Condition Monitoring
2.4 Pollution Monitoring
3 System Overview
3.1 Sensor
3.1.1 Smartphone-Based Sensing
3.1.2 Sensing Using IoT-Based External Sensor Module
3.2 Communication Technologies
3.3 Computation Layer
4 Methodologies
5 Research Issues
5.1 Incentive
5.2 Reliability
5.3 Privacy and Security
5.4 Quality
5.4.1 Standardization of Sensor
5.4.2 Standardization of Communication System
5.4.3 Expert System
5.4.4 Cloud Infrastructure
6 Conclusion
References
Water Monitoring Using Internet of Things
1 Introduction
2 Literature Review
3 Methodology
3.1 IoT Devices for Water Monitoring
3.2 Processing Unit
3.3 Monitoring Unit
4 Results and Discussion
5 Conclusion
References
Participatory Citizen Sensing with a Focus on Urban Issues
1 Introduction
2 Fundamental Issues of PCS Concept
2.1 PCS Domains
2.1.1 Nature and Ecology
2.1.2 Urban Issues
2.1.3 Extreme Events
2.2 Citizen Involvement: Recruitment and Motivation
2.3 Procedural Issues and Technical Solutions
3 Citizen Reporting of Issues on Public Infrastructure (CRIsPI)
3.1 Category A: Reporting Systems with Full Functionality
3.2 Category B: Reporting Systems Violating One Condition to Full Functionality
3.3 Category C: Reporting Systems with More Functionality Issues
4 Conclusion
References
Design Strategy of Multimodal Perception System for Smart Environment
1 Introduction
2 Related Works
3 The Context-Awareness System in Architecture Space
4 Perceptual Systems in Smart Environments
4.1 The Visual System
Perception of Static Information
Perception of Dynamic Information
Perception of Symbolic Information
4.2 The Auditory System
Perception of the Physical Realities of Sound
Interpretation of Linguistic Information
4.3 The Haptic System
Direct Haptic System
Indirect Haptic System
4.4 The Odour System
5 Smart Environment Cognitive System Construction
5.1 Design Strategies for Optimizing the Distribution of Various Perception Systems
5.2 Design Strategies for Information Processing of Cognitive Systems
Design Strategies for Unimodal Information Processing
Design Strategies for Multimodal Data Processing
6 Conclusion
References
Cyberattack Measures in Smart Cities and Grids
1 Introduction
2 Smart Cities
3 Smart Grids
4 IoT in Smart Grids and Cities
5 Cybersecurity in Smart Grids and Cities
5.1 Most Common Cyberattack Methods in Smart Grids and Cities
5.2 Measures Against Cyberattacks in Smart Grids and Cities
6 Conclusion
References
Index
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