Intelligent Green Communication Network for Internet of Things

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Editors
List of Contributors
1 Green IoT: Need, Architecture, Applications, Challenges, and Future Scope
	1.1 Introduction of Green IoT
	1.2 Need for Green IoT
	1.3 Architecture of Green IoT
	1.4 Applications of Green IoT
		1.4.1 Smart Home
		1.4.2 Industrial Automation
		1.4.3 Smart Healthcare
		1.4.4 Smart Grid
		1.4.5 Smart Cities
		1.4.6 Smart Agriculture
	1.5 Challenges
	1.6 Future Scope
	1.7 Conclusion
	References
2 Green IoT: Future Direction and Open Challenges
	2.1 Introduction
		2.1.1 Internet of Things
		2.1.2 IoT Architecture
		2.1.3 Green IoT
		2.1.4 Green IoT Principles
		2.1.5 Green IoT Technologies
		2.1.6 Advantages and Disadvantages of Green IoT
		2.1.7 Life Cycle of Green IoT
	2.2 Application of Green IoT
		2.2.1 Smart Cities
		2.2.2 Smart E-health
		2.2.3 Smart Agriculture
		2.2.4 Smart Home
		2.2.5 Smart Grid
		2.2.6 Smart Industry and Manufacturing
	2.3 Green IoT Implementation Strategies
	2.4 Open Challenges and Future Research Directions
		2.4.1 Future Research Direction
		2.4.2 Tools and Technology
	2.5 Conclusion
	References
3 Enabling Sustainable Technologies Using the Internet of Things for Industry 4.0
	3.1 Introduction
	3.2 Industry 4.0
		3.2.1 Sustainable Development in Industry 4.0
	3.3 Intelligence in Industrial IoT
		3.3.1 Artificial Intelligence
		3.3.2 Machine Learning
		3.3.3 Deep Learning
	3.4 Analytics and Data Management in IIoT
		3.4.1 Big Data and Advanced Analysis
	3.5 Case Study: Future of Smart Transportation
		3.5.1 Advantages and Applications of IoV in Smart Transportation
	3.6 Conclusion
	References
4 IoT Deployment: What Cloud has to Offer?
	4.1 Introduction
	4.2 Significance of Cloud for IoT Deployment
	4.3 Cloud Platforms for IoT Deployment
		4.3.1 Amazon Web Services (AWS) IoT
		4.3.2 Microsoft Azure IoT
		4.3.3 Google Cloud IoT Solution
		4.3.4 Ibm Watson IoT
		4.3.5 Siemens Mindsphere
		4.3.6 Bosch IoT Platform
	4.4 Application Domain
		4.4.1 Agriculture
		4.4.2 Smart City
		4.4.3 Healthcare
		4.4.4 Smart Home and Smart Metering
		4.4.5 Smart Energy and Smart Grid
	4.5 Green Cloud and Fog Computing as Enabling Technologies for Green IoT
	4.6 Green IoT Applications
	4.7 Conclusion
	References
5 A New Optimal Protocol for Green IoT Communication
	5.1 Introduction
	5.2 Network Coding
	5.3 Topology Control
	5.4 Combined Network Coding and Topology Control
	5.5 Considering The Receiving Energy
	5.6 Results
	5.7 Conclusion
	References
6 Pharmaceutical Supply Chain Management System Using Blockchain and IoT Technology
	6.1 Introduction
	6.2  Theoretical Framework and Design Consideration of Proposed System
		6.2.1 System Diagram
	6.3 Project Component
		6.3.1 Blockchain
		6.3.2 IoT
		6.3.3 End User
	6.4 Summary
	References
7 Intelligent Green Communication Network for IoT Applications
	7.1 Smart Cities
	7.2 Smart Healthcare
	7.3 Smart Buildings
	7.4 Smart Education
	7.5 Smart Data Center
		7.5.1 Five Basic IoT Applications for Server Farm Foundation Boards
	7.6 Smart Parking System
	7.7 Smart Transport System
	7.8 Smart Power Supply
	7.9 Smart Automobile
	7.10 Smart Industry and Automation
	7.11 Smart Food and Supply Chain
	7.12 Smart Agriculture
	7.13 Smart Resource Management
	7.14 Smart Waste Management
	7.15 Smart Water Management System
	References
8 Scalable and Energy-Efficient Intelligent Schemes for Green IoT
	8.1 Introduction
	8.2 Heterogeneous Wireless Network
	8.3 Intelligent and Green Sensor
	8.4 Green Cloud Computing (GCC) Technology
	8.5 Wireless Sensor Network (WSN)
	8.6 Green Iot Approaches
	8.7 Green Machine-To-Machine Technology (M2M)
	8.8 Green Communication and Networking
	References
9 Energy-Efficient Clustering Protocol for IoT-Based Unmanned Aerial Vehicles
	9.1 Introduction
	9.2 Related Work
	9.3 Improved Artificial Bee Colony ( IABC) Metaheuristic
		9.3.1 Improved Initialization Phase
		9.3.2 Improved Solution Search Equation
		9.3.3 Improved Clustering Protocol—iABC[sup(2)]
	9.4 Results and Discussion
	9.5 Conclusion
	References
10 Comprehensive Study on Next-Generation IoT: Energy-Efficient Green IoT
	10.1 Introduction
	10.2 Principles of Energy-Efficient Green IoT
	10.3 Enabling Energy-Efficient Technologies for Communication and Monitoring
	10.4 Communication Protocols for IoT
	10.5 Data Visualization for IoT
		10.5.1 Data Visualization in IoT Applications Using Charts
		10.5.2 Tools for Data Visualization in IoT Applications
	10.6 Challenges and Issues for Energy-Efficient Green IoT
	10.7 Energy-Efficient IoT Application
	10.8 Conclusion
	References
11 Integrating IoT Technology for Effective Agriculture Monitoring: An Approach to Smart Farming System
	11.1 Introduction
	11.2 Proposed System
		11.2.1 Arduino Mega 2560
		11.2.2 Temperature and Humidity Sensor (DHT11)
		11.2.3 Soil Moisture Sensor (FC-28)
		11.2.4 PIR Sensor (HC-SR501)
		11.2.5 Ultrasonic Sensor (HC-SR04)
		11.2.6 Flame Sensor
		11.2.7 Sound Sensor
		11.2.8 Water Level Sensor
		11.2.9 LDR Sensor
		11.2.10 Node MCU ESP8266
	11.3 Results and Discussion
		11.3.1 Simulation Results
		11.3.2 Experimental Results
	11.4 Conclusion
	References
12 Enforcement of IoT for Potent Oversight of Toxic Levels in The Construction and Demolition Waste at an Industrial Vicinage
	12.1 Introduction
	12.2 Introduction: Background and Driving Forces
	12.3 Usage of LoRa WAN for Waste Collections
	12.4 Features
		12.4.1 Ultrasonic Sensor
		12.4.2 GPS Module
		12.4.3 Gateway
		12.4.4 The Server and The GUI
	12.5 Conclusion
	References
13 Smart Water Management System for Water Level and Quality Detection, Monitoring, and Control in Residential Structures
	13.1 Introduction
	13.2 Literature Survey
		13.2.1 Comparisons of Various Research Schemes
	13.3 Measurement Parameters of System
	13.4 Methodology of The Proposed System
	13.5 System Design
		13.5.1 Software
		13.5.2 Hardware Components
			13.5.2.1 Arduino UNO
			13.5.2.2 Ultrasonic Sensor
			13.5.2.3 Turbidity Module
			13.5.2.4 LCD Display (16[sup(*)]2 I2C)
			13.5.2.5 Relay Module (JQC-3FF-S-Z)
	13.6 Data Modeling Diagrams
		13.6.1 Sequence Diagrams
		13.6.2 Activity Diagrams
	13.7 Demo of Work
	13.8 Conclusion
	References
14 A Novel Approach for Vehicle Detection to Avoid Accidents in The Construction Area
	14.1 Introduction
	14.2 Literature Study
	14.3 Proposed System
	14.4 Precautionary Measures
	14.5 Methodology
	14.6 Algorithm for Proposed System
	14.7 Implementation
		14.7.1 Hardware Specifications
		14.7.2 Software Specification
		14.7.3 Raspberry Pi 3
		14.7.4 Display Module
		14.7.5 Ultrasonic Sensor & Buzzer
		14.7.6 GPS Receiver
	14.8 Results and Discussion
	14.9 Advantages and Disadvantages of the System
	14.10 Conclusion and Future Work
	References
15 Smart Home Security
	15.1 Introduction of IoT
		15.1.1 IoT Applications
		15.1.2 Smart Home - Latest Developments
		15.1.3 Security Challenges
		15.1.4 Recent Attacks on IoT
	15.2 Device-Oriented Security Challenges
	15.3 Network-Oriented Security Challenges
	15.4 Application-Oriented Security Challenges
	15.5 Conclusion
	References
Index