Internet of Things in Smart Technologies for Sustainable Urban Development (EAI/Springer Innovations in Communication and Computing)

✍ Scribed by G. R. Kanagachidambaresan (editor), R. Maheswar (editor), V. Manikandan (editor), K. Ramakrishnan (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 252
• Category: Library

✦ Synopsis

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 in relation to all the smart and sustainable development solutions discussed. The solutions they provide are affordable, resistive to threats, and provide high reliability. The book pertains to researchers, academics, professionals, and students.

• Provides solutions to urban sustainable development problems facing engineers in developing and developed countries
• Discusses results with industrial problems and current issues in smart city development
• Includes solutions that are reliable, secure and financially sound

✦ Table of Contents

Preface
Acknowledgment
Contents
About the Editors
IoT in the Field of the Future Digital Oil Fields and Smart Wells
1 Introduction
2 Literature Review
2.1 Statistics of Oil Reserves, Production, and Consumption
3 Current Methods for Oil Fields Management and Drilling
4 Challenges in Oil field Management Systems
5 Improving the Functioning of the Oil and Gas Industry with IoT
6 Benefits of IoT in the Oil Field
7 Conclusion
References
Reinforcement Learning Concepts Ministering Smart City Applications Using IoT
1 Introduction
2 Preliminary Studies
3 IoT Technology for Every Smart City
3.1 Smart Infrastructure
3.2 Waste Management
3.3 Security Systems
3.4 Smart Energy Consumption
3.5 Healthcare Services
4 Smart City Paradigm and Its Applications Using IoT
4.1 Smart Energy
4.2 Smart Mobility
4.3 Smart Citizens
4.4 Urban Planning
4.5 Smart City Data Characteristics
5 Machine Learning Concepts in Smart City
6 Big Data and IoT Changing a City into a Smart City
7 Reinforcement Learning: An Introduction to the Concepts, Applications, and Code
7.1 Reinforcement Learning Problem
7.2 Background Awake Reinforcement Learning Problems
7.3 Reinforcement Learning Agent
7.4 Problems within Reinforcement Learning
8 Optimizing Traffic Using Reinforcement Learning
9 Conclusion
References
Internet of Things Based Solutions and Applications for Urban Planning and Smart City Transportation
1 Introduction
2 Gearing Up for IoT-Based Electric Vehicles for Urban Planning and Smart City
3 Sustainability Maintenance
3.1 Cutting of Coal and Natural Gas
3.2 Principle of Multi-criteria Decision Analysis
3.3 Determining the Objective of Decision-Making Process
3.4 Selecting Appropriate Parameters for the Decision
3.5 Alternative Selection
3.6 Representation of Important Weighing Methods
3.7 Aggregation Method
4 An IoT-Based Solution to Enhance Intelligent Traffic Lights Management Employing Programmable Logic Controller
4.1 Electropneumatic Controllers
4.2 Programming a PLC
4.2.1 Push Button
4.2.2 Pressure Switches
4.2.3 Solenoids
4.2.4 Relays
5 IoT-Based Timers for Smart Traffic Lights Management
5.1 Off-Delay Timer
5.2 Counters
5.3 Memory Elements
5.4 Replacement of Equipment with the Ladder Diagram
6 Conclusion
References
Trust Based Data Reduction in Sensor Driven Smart Environment
1 Introduction
1.1 Contributions
1.2 Motivations
1.3 Organization
2 Related Work
3 Proposed Trust Based Data Reduction Scheme
4 Experimental Setup
5 Results and Discussions
6 Conclusion
References
Prospects of Sustainable Transport of Automobile Vehicles in Kolkata City
1 Introduction
2 Study Area
3 Data and Methods
4 Results and Analysis
5 Discussions
6 Problems Related to Automobile Vehicles in Kolkata City
7 Recommendations
7.1 Pricing and Taxation
7.2 Planning
7.3 Policy
7.4 Education
7.5 Technology
8 Conclusion
References
The Application Scenario and Dependence with IoT
1 Introduction
1.1 Working of IoT
2 IoT in Industry Applications
2.1 IIoT in Manufacturing Industry
2.1.1 IoT Use Cases in Manufacturing: Opportunities and Context
2.1.2 Manufacturing Operations
2.1.3 Production Asset Management and Maintenance
2.1.4 Field Service
2.1.5 Other Manufacturing IoT Use Cases
2.1.6 Visualizing the Internet of Things in Manufacturing
2.2 The IIoT in Connected Logistics and Transportation
2.3 IIoT in Energy and Utilities
2.4 IIoT in Other Industries
3 IoT in Day-to-Day Life
3.1 Tuning Your Car
3.2 Monitoring Your Health
3.3 Energy Consumption
3.4 Driving and Traffic Jams
3.5 Grocery Lists
3.6 Our Morning Alarm
3.7 Monitoring Your Baby
3.8 What's on Your Body
3.9 IoT in Agriculture
3.10 Smart Retail
3.11 IoT in Poultry and Farming
4 Discussion
5 Conclusion
References
An Overview of Energy Harvesting Techniques for Future Internet of Things Applications
1 Introduction
2 Thermoelectric Energy Harvesting (TEEH)
3 Pyroelectric Energy Harvesting (PyEEH)
4 Photovoltaic Energy Harvesting (PVEH)
5 Piezoelectric Energy Harvesting (PEEH)
6 Electromagnetic Energy Harvesting
7 Wind Energy Harvesting (WEH)
8 Vibrational Energy Harvesting
9 Summary
References
Energy Efficient ACPI and JEHDO Mechanism for IoT Device Energy Management in Healthcare
1 Introduction
2 Related Works
2.1 The IoMT and ACPI for Healthcare Applications Framework
2.2 Battery and Energy Management Life Cycle
2.3 Lifecycle Management in the IoMT System for Battery Recovery-Based Algorithm
3 Proposed Methodology
3.1 Model for Battery Framework
3.2 The IoMT Algorithm for Energy Harvesting and Duty-Cycle Optimization
4 Result and Discussion
5 Conclusion
References
Internet of Things (IoT) Based Bio-inspired Artificial Intelligent Technique to Combat Cybercrimes: A Review
1 Introduction
1.1 Evolutionary Algorithms
1.2 Swarm Intelligence (SI)-Based Algorithms
1.3 Bio-inspired (But Not SI-Based) Algorithms
1.4 Physics- and Chemistry-Based Algorithms
1.5 Other Miscellaneous Algorithms
2 Artificial Intelligence (AI) and Bio-inspired Algorithms
2.1 History of Cybercrime and AI
3 IOT and Cyber-Physical Systems (CPS)
3.1 Combined Application of BIC and AI in Cybersecurity
3.2 Detriments of Conventional Cybersecurity Strategy to Complicated Systems
3.2.1 Cybersecurity Audit
3.2.2 Risk Valuation
3.2.3 Cyber Resilience Review
3.3 Incorporating Risk-Based Approach into Conventional Mechanism
4 Conclusion
References
Impulsive Parking Systems for Smart Cities Based on Vehicle Location and Destination Using Internet of Things
1 Introduction
2 Rationale Behind IoT-Cloud Integration
3 Infrastructure of a Smart Parking System
3.1 Detection System
3.1.1 Vision-Based Method
3.1.2 Smart Parking Systems Based on Computer Vision
3.1.3 Sensor-Based Method
3.1.4 Smart Parking Systems Based on RFID Technology
3.2 Processor
3.3 Sensor Connectivity
3.3.1 Parking System Based on Wireless Sensor Networks
3.3.2 Smart Parking Systems Based on Vehicle to Infrastructure Communication
3.3.3 GPS-Assisted Smart Parking System
3.3.4 Other Hybrid, M2M, IoT Systems
4 Challenges in Implementing IoT
4.1 Technological Challenges
5 Conclusion
References
Implementing Cryptographic Internet of Things in Patient-Centered Network to Vestige Alzheimer and DementiaPatient
1 Introduction
2 Literature Review
3 Proposed System
4 Results and Discussion
5 Conclusion
References
Theses
International Conference
International Journal
Advanced Energy Management System for Smart City Application Using the IoT
1 Introduction
2 Related Works
3 Research Gap Identified
4 Proposed Methodology
4.1 Stochastic Energy Management Scheme
5 Result and Discussion
6 Conclusion
References
Smart Vehicular Management System Using Blockchain for Internet of Connected Vehicles
1 Introduction
2 Architecture of Proposed Systems
2.1 Smart Vehicular System
3 System Design
3.1 Application of Blockchain
4 Implementation
5 Methodology
5.1 Workflow of the Proposed System
5.2 Working of Smart Contracts
5.3 Deploying Smart Contract into Blockchain:
6 Result and Discussion
6.1 Using Blockchain for Secured Transaction
6.2 File Storage
7 Conclusion
References
Edge Computing-Based Intrusion Detection System for Smart Cities Development Using IoT in Urban Areas
1 Introduction
2 Intrusion Detection System
3 IDS in RFID
4 Edge-Based IoT
5 IoT Edge Devices: Cloud Middleware
6 Distributed Processing
7 Cloudlet Computing in Edge-Based IoT
7.1 IDS in Urban Areas Using the Cloud-Based IoT
7.2 System Architecture
7.3 IDS Using Edge Computing in Raspberry Pi
7.4 Algorithm Description
8 System Model
8.1 Microcontroller Module
8.2 Mobile Application Module
8.3 Database Module
9 Conclusion and Future Work
References
Index