IoT and WSN based Smart Cities: A Machine Learning Perspective (EAI/Springer Innovations in Communication and Computing)

✍ Scribed by Shalli Rani (editor), Vyasa Sai (editor), R. Maheswar (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 288
• Category: Library

✦ Synopsis

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

✦ Table of Contents

Preface
Acknowledgment
Contents
Protocol Design for Earthquake Alert and Evacuationin Smart Buildings
1 Introduction
2 Related Works
3 Role of IoT in Disaster Management
3.1 IoT in Management
4 IoT Architecture for Disaster Management
5 Proposed Architecture for Earthquake Detection and Evacuation
5.1 Earthquake Detection
5.2 Safety Measures for Evacuation
6 Conclusion
References
Impact of the Internet of Things and Clinical Decision Support System in Healthcare
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Discussion and Future Scope
6 Future Scope
7 Conclusion
References
Smart Healthcare Support Using Data Mining and Machine Learning
1 Introduction
2 Smart Cities
3 Smart Healthcare Applications
3.1 Assisting Diagnosis and Treatment
3.2 Health Management
3.3 Disease Prevention and Risk Monitoring
3.4 Virtual Assistant and Wearable Sensors
3.5 Drug Research
4 Data Mining Techniques
4.1 Classification
4.2 Clustering
4.3 Association Rules
5 A Case Study
6 Conclusions
References
Window Functions for Phasor Signal Processing of Wide-Area Measurement in Smart Grid Internet of Things Communications
1 Introduction
2 Window Functions
2.1 HNNW Technique
2.2 HMMW Technique
2.3 HW Technique
3 Simulation Result Analysis
4 Conclusion
References
Facens Smart Campus Integrated Dashboard: A Use Case Applied for Energy Efficiency
1 Introduction and Contextualization
1.1 Understanding the Concept of Smart Cities and the Ecosystem for Energy Generation and Consumption
1.2 Internet of Things (IoT) and Artificial Intelligence as Tools
1.3 Data Fusion, Main Challenges, and Integration on a Dashboard
1.4 Challenges Concerning to Power Factor Prediction Based on Meteorological Conditions
2 The Integrated Dashboard
2.1 Data Architecture
2.2 The Ecosystem
3 Machine Learning Applied to Power Factor Prediction
3.1 Datasets
3.2 Exploratory Data Analysis
3.3 Experimental Methodology and Results
References
Cloud Internet of Things in Medical and Smart Healthcare Applications
1 Introduction
2 Background
3 Legacy Work and Literature Review
4 The Health Applications and Equipment
5 Discussion and Analysis
5.1 Concepts
5.1.1 Ambient Assisted Living (AAL)
5.1.2 Wearable Devices and Smartphone
5.2 Healthcare Applications
5.2.1 Electrocardiogram Monitoring
5.2.2 Body Temperature Monitoring
5.2.3 Blood Pressure Monitoring
5.2.4 Asthma Monitoring
6 Conclusion
References
Tornado Forecast Visualization for Effective Rescue Planning
1 Introduction and Related Work
1.1 Tornado Event and Path Prediction
1.2 Using Historical Data
1.3 Forecasting Visualization and Warning System
2 Hexagonal Warning Grid System
3 Proposed Method
4 Results
5 Conclusion and Future Work
References
Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities – Part 1: Technologies
1 Introduction
2 Overview of Smart City/IoT Applications
3 General Concept of Situational Awareness (Examples)
3.1 General Concept
3.2 Video/Security Framework
4 Use of Machine Learning in Some General SA Use Cases
5 Conclusion
References
Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities – Part 2: Platforms
1 Situational Awareness for Law Enforcement Agencies
1.1 Characterization of a Situational Awareness Platform
1.2 Broad Functional Requirements of a Situational Awareness Platform for Law Enforcement
1.3 Input Devices and Data Acquisition Technologies
1.3.1 Access to Informational Data Records
1.3.2 Acquiring Visual Surveillance
1.3.3 Monitoring Social Media Activity
1.3.4 Analytics Software
1.4 Commercial Platforms Classes
1.4.1 VMS
1.4.2 PSIM
1.4.3 CAD/RMS: Correlation/Data Mining/Analytics and Visualization/Presentation
1.4.4 Hybrid SA Platform
2 Challenges in Delivering a SAP to Law Enforcement
2.1 Reluctance to Entertain Risk
2.2 Misunderstanding IT's Role, from Reluctance to Engage Through Maintenance Responsibility
2.3 Misaligning the SAP's Role Within the Agency
2.4 Underestimating the Public's Capacity for Misperception
2.5 Setting Public/Private Partnership Policy Without Sufficient Regard to the Technical Complexities
3 Ethical Questions
4 Research Directions and Expected Developments
5 Conclusion
References
A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using the IoT
1 Introduction
2 Literature Survey
3 Motivation
4 Block Diagram
4.1 Monitoring System
5 Circuit Diagram
6 Hardware and Software Used
6.1 Arduino IDE
6.2 Proteus
6.3 Embedded C
7 Results and Discussion
7.1 Circuit Diagram
7.2 Proteus Result
7.3 Acid Level Checking Again
7.4 Alkaline Level High
7.5 Alkaline Same Level Detected Again
7.6 Simulation for Normal Water
8 Conclusion
References
Design of a WSN Platform for Internet of Things Applications
1 Introduction
1.1 Problem Statement
1.2 Objectives
1.3 Chapter Organization
2 Literature Survey
3 Proposed Methodology
3.1 Block Diagram
3.2 Working
4 Details of Hardware and Software Used
4.1 Flowchart
4.2 Algorithm
5 Results and Discussions
5.1 Detection of Increasing Water Level in Manhole
5.2 Detection of Leakage of Gas
5.3 Detection of Overflow in Manhole
5.4 Status of the System
6 Advantages and Applications
7 Conclusion and Future Work
References
Performance Analysis of Modulation Techniques over a Smart City Optical Communication Channel Under Weak Atmospheric Turbulence
1 Introduction
2 Methodology
2.1 Error Rate Performance on M-PSK Modulation
2.2 Bit Error Rate (BER)
2.3 Signal-to-Noise Ratio (SNR)
2.4 BER and SNR on M-PSK Modulation
2.5 Probability of Bit Error for M-PSK Modulation
2.6 Binary Phase-Shift Keying (BPSK)
2.7 M-Phase Shift Keying (M-PSK)
3 Results and Discussions
3.1 Performance Analysis of Different PSK Modulations
3.2 Analysis of Different Modulations for Constant Link Distance
4 Conclusion
References
Toward Secure Cyber Infrastructure for Smart Cities: Learning-Based Intelligent Solutions
1 Introduction
2 Threats in Smart Transportation
2.1 Byzantine Activity
2.2 Inference Attack
2.3 Intelligent Solutions for Smart Transportation
2.4 Artificial Intelligence (AI)-Enabled Vehicular Edge Resource Allocation
2.5 Federated Learning for Vehicular Edge Computing
2.6 Transparency in Vehicular Edge Computing
2.7 Anomaly Detection in Vehicular Edge Computing
2.8 Cryptography-Based Security Solutions
3 Artificial Intelligence (AI) to Enhance Security and Privacy of Advanced Manufacturing
4 AI for Smart Grid Security
4.1 Privacy-Preserving Anomaly Detection Using AI
5 Conclusion
References
Utilizing ICN Caching for IoT Big Data Management in WSN-Based Vehicular Networks
1 Introduction
2 Background
2.1 IoT: An Overview
2.2 WSN in IoT
3 Challenges in WSN-Assisted IoT Environment
4 Leveraging ICN in WSN-IoT
4.1 Applications of ICN-Enabled WSN-IoT
5 ICN Caching for Traffic Management in Vehicular Networks
5.1 Different Caching Strategies
6 Evaluation Metrics of ICN Caching Strategies
6.1 Cache Space Utilization
6.2 Network Delay
6.3 Hop Reduction
7 Conclusion
References
Integration of WSN and IoT: Its Applications and Technologies
1 Introduction to Wireless Sensor Networks (WSN)
1.1 Evolution of WSN and IoT
1.2 Growth of Wireless Sensor Networks
1.3 Components of WSN and IoT
2 Applications of WSN in IoT
3 Technologies in WSN-IoT
3.1 Software-Defined Networking (SDN) in WSN
3.2 Cloud Computing in Wireless Sensor Networks
3.3 Named Data Networking (NDN) in Wireless Sensor Networking
4 Research Issues in the Integration of WSN and IoT
5 Conclusion
Key Points
References
Choice-Based Recreation Facility for Smart Cities
1 Introduction
2 What Is Recreation?
2.1 Types of Recreation
2.2 Evolution of Technology in Recreation
3 Business Opportunities: Smart Tourism
4 Innovative Technologies in Smart Tourism
4.1 Accessible Technologies
5 Challenges in Building These Systems
6 Conclusion
References
Index