Towards Cognitive IoT Networks (Internet of Things)

Acknowledgements
Contents
Introduction
	1 Introduction
	2 Outline of Contributions
	References
Current Research Trends on Cognitive Radio Based Internet of Things (IoT)
	1 Introduction
	2 Research Trends on Cognitive Radio Based IoT (CR-IoT)
		2.1 Cognitive Radio Based IoT Architecture
		2.2 Spectrum Sensing and Sharing for CR-IoT
		2.3 Adaptation of Transmission Parameter in CR-IoT
		2.4 Energy Management in CR-IoT
		2.5 Security and Reliability for CR-IoT
	3 Research Challenges in CR-IoT
	4 Recommendations for Future Research in CR-IoT
	5 Conclusion
	References
Cognition Radio Enabled IoT
	1 Introduction
	2 Major Functionalities and Challenges with IoT
	3 Major Functionalities and Challenges with Cognitive Radio
	4 IoT and CR Frameworks
	5 CR Enabled IoT
	6 Conclusion
	References
SDN-Enabled IoT: Ensuring Reliability in IoT Networks Through Software Defined Networks
	1 Introduction
	2 Related Work
		2.1 Failure Recovery Mechanisms
		2.2 Failure Recovery in SDN
	3 Proposed Solutions for Link and Node Recovery
	4 Link Recovery Solution for SDN-Enabled IoT
		4.1 CoD Recovery Approach
		4.2 LIm Recovery Approach
		4.3 ICoD Mechanism
		4.4 Performance Evaluation
	5 Rapid and Robust Node Recovery of Data Traffic in SDN-Enabled IoT Networks
		5.1 Reactive Approach
		5.2 Proactive Approach
		5.3 Hybrid Approach
		5.4 Performance Evaluation
	6 Conclusion
	References
QoS Aware Spectrum Selection for IoT
	1 Introduction
	2 Related Works
	3 QoS Aware Spectrum Allocation
		3.1 QoS Requirement Model
		3.2 Spectrum Capability Model
		3.3 QoS Aware Spectrum Selection
	4 Evaluation
	5 Conclusion
	References
Cognitive M2M Communications: Enablers for IoT
	1 Introduction
	2 Overview of Cognitive M2M Communications
		2.1 MAC Layer Protocols of Cognitive M2M
		2.2 Advantages of Cognitive M2M
	3 Cognitive M2M as Enabler for IoT
	4 Applications of Cognitive M2M Communication
		4.1 Home Multimedia Distribution and Sharing
		4.2 Intelligent Transportation Systems
		4.3 eHealthcare
		4.4 Environmental Monitoring
		4.5 Smart Grid
	5 Conclusion
	References
Cognitive Radio Engine Design for IoT Using Monarch Butterfly Optimization and Fuzzy Decision Making
	1 Introduction
	2 Problem Formulation
		2.1 Cognitive Radio Engine Objectives
		2.2 Best Compromised Solution
	3 Monarch Butterfly Optimization
		3.1 Migration Operator
		3.2 Butterfly Adjusting Operator
		3.3 GCMBO
	4 Numerical Results
		4.1 Best Compromised Solutions
	5 Conclusion
	References
Physical Layer Security of Cognitive IoT Networks
	1 Introduction
	2 Evolution of Cognitive IoT Networks
	3 Security Requirements
		3.1 Secrecy
		3.2 Authentication
		3.3 Data Integrity Awareness
		3.4 Robustness
	4 Attack Types
		4.1 Physical Attacks
		4.2 Attacks on Compromise of Credentials
		4.3 Networking Attacks
	5 Attacks on the Cognitive Access
		5.1 Impact of the Cognitive Access
		5.2 Primary User Emulation Attacks
		5.3 Sensing Data Falsification Attacks
		5.4 Objective Function Attacks
		5.5 Jamming Attacks
		5.6 Eavesdropping Attacks in CIoT
	6 Case Study
		6.1 Network Model
		6.2 Trust Calculation
		6.3 Beamforming-Based Attack Prevention
	7 Conclusions and Open Issues
	References
Internet of Energy Harvesting Cognitive Radios
	1 Introduction
	2 Background
		2.1 Requirements of Big Data-Enabled IoT
		2.2 Cognitive Radio Communications for Big Data-Enabled IoT
		2.3 Energy Harvesting Communications for Big Data-Enabled IoT
	3 Motivations for Using Energy Harvesting Cognitive Radios in Big Data-Enabled IoT
		3.1 Motivations for Spectrum-Aware Communications
		3.2 Motivations for Self-sustaining Communications
	4 Internet of Energy Harvesting Cognitive Radios
		4.1 Energy Harvesting Methods in Big Data-Enabled IoT
		4.2 Applications of Cognitive Radio in Big Data-Enabled IoT
		4.3 Challenges Posed by Internet of Energy Harvesting Cognitive Radios
		4.4 Integration of Energy Harvesting Cognitive Radios with the Internet
	5 General Framework of IoEH-CRs for Big Data Applications
		5.1 Operation Overview
		5.2 Node Architecture
		5.3 Network Architecture
		5.4 Discussion on Existing and Future Applications of IoEH-CRs for Big Data
	6 Conclusion
	References
Cultural IoT Framework Focusing on Interactive and Personalized Museum Sightseeing
	1 Introduction
	2 IoT Interactive Museums
	3 Related Work on Cognitive IoT Museum Services
	4 Related Work on System Architecture of Smart Museums
	5 IRME Framework Services and Protocols
	6 IRME Communication Protocols and Services Interoperability
		6.1 Data Exchange Protocol of the Thematic Tour and Interactive Services
		6.2 Navigation Service Protocol
		6.3 Cognitive Service Protocol
		6.4 Enhanced, Augmented Projection Protocol
		6.5 Haptic Protocol
		6.6 3D Modeling and Printing Protocol
	7 Conclusions
	References