Towards Cognitive IoT Networks (eBook)

Acknowledgements 6
Contents 7
Introduction 8
1 Introduction 8
2 Outline of Contributions 9
References 11
Current Research Trends on Cognitive Radio Based Internet of Things (IoT) 12
1 Introduction 12
2 Research Trends on Cognitive Radio Based IoT (CR-IoT) 14
2.1 Cognitive Radio Based IoT Architecture 14
2.2 Spectrum Sensing and Sharing for CR-IoT 16
2.3 Adaptation of Transmission Parameter in CR-IoT 18
2.4 Energy Management in CR-IoT 18
2.5 Security and Reliability for CR-IoT 19
3 Research Challenges in CR-IoT 20
4 Recommendations for Future Research in CR-IoT 20
5 Conclusion 21
References 22
Cognition Radio Enabled IoT 25
1 Introduction 26
2 Major Functionalities and Challenges with IoT 27
3 Major Functionalities and Challenges with Cognitive Radio 30
4 IoT and CR Frameworks 31
5 CR Enabled IoT 33
6 Conclusion 36
References 37
SDN-Enabled IoT: Ensuring Reliability in IoT Networks Through Software Defined Networks 38
1 Introduction 39
2 Related Work 41
2.1 Failure Recovery Mechanisms 41
2.2 Failure Recovery in SDN 42
3 Proposed Solutions for Link and Node Recovery 42
4 Link Recovery Solution for SDN-Enabled IoT 43
4.1 CoD Recovery Approach 44
4.2 LIm Recovery Approach 44
4.3 ICoD Mechanism 45
4.4 Performance Evaluation 46
5 Rapid and Robust Node Recovery of Data Traffic in SDN-Enabled IoT Networks 48
5.1 Reactive Approach 48
5.2 Proactive Approach 50
5.3 Hybrid Approach 50
5.4 Performance Evaluation 51
6 Conclusion 56
References 57
QoS Aware Spectrum Selection for IoT 59
1 Introduction 59
2 Related Works 60
3 QoS Aware Spectrum Allocation 61
3.1 QoS Requirement Model 63
3.2 Spectrum Capability Model 64
3.3 QoS Aware Spectrum Selection 64
4 Evaluation 66
5 Conclusion 67
References 68
Cognitive M2M Communications: Enablers for IoT 70
1 Introduction 70
2 Overview of Cognitive M2M Communications 72
2.1 MAC Layer Protocols of Cognitive M2M 72
2.2 Advantages of Cognitive M2M 78
3 Cognitive M2M as Enabler for IoT 78
4 Applications of Cognitive M2M Communication 79
4.1 Home Multimedia Distribution and Sharing 79
4.2 Intelligent Transportation Systems 79
4.3 eHealthcare 80
4.4 Environmental Monitoring 81
4.5 Smart Grid 81
5 Conclusion 81
References 81
Cognitive Radio Engine Design for IoT Using Monarch Butterfly Optimization and Fuzzy Decision Making 83
1 Introduction 83
2 Problem Formulation 85
2.1 Cognitive Radio Engine Objectives 86
2.2 Best Compromised Solution 88
3 Monarch Butterfly Optimization 89
3.1 Migration Operator 89
3.2 Butterfly Adjusting Operator 90
3.3 GCMBO 90
4 Numerical Results 91
4.1 Best Compromised Solutions 97
5 Conclusion 100
References 100
Physical Layer Security of Cognitive IoT Networks 103
1 Introduction 104
2 Evolution of Cognitive IoT Networks 105
3 Security Requirements 106
3.1 Secrecy 107
3.2 Authentication 107
3.3 Data Integrity Awareness 108
3.4 Robustness 108
4 Attack Types 108
4.1 Physical Attacks 109
4.2 Attacks on Compromise of Credentials 111
4.3 Networking Attacks 112
5 Attacks on the Cognitive Access 113
5.1 Impact of the Cognitive Access 113
5.2 Primary User Emulation Attacks 115
5.3 Sensing Data Falsification Attacks 116
5.4 Objective Function Attacks 116
5.5 Jamming Attacks 117
5.6 Eavesdropping Attacks in CIoT 117
6 Case Study 118
6.1 Network Model 118
6.2 Trust Calculation 119
6.3 Beamforming-Based Attack Prevention 120
7 Conclusions and Open Issues 121
References 123
Internet of Energy Harvesting Cognitive Radios 126
1 Introduction 127
2 Background 129
2.1 Requirements of Big Data-Enabled IoT 129
2.2 Cognitive Radio Communications for Big Data-Enabled IoT 129
2.3 Energy Harvesting Communications for Big Data-Enabled IoT 130
3 Motivations for Using Energy Harvesting Cognitive Radios in Big Data-Enabled IoT 131
3.1 Motivations for Spectrum-Aware Communications 131
3.2 Motivations for Self-sustaining Communications 132
4 Internet of Energy Harvesting Cognitive Radios 133
4.1 Energy Harvesting Methods in Big Data-Enabled IoT 133
4.2 Applications of Cognitive Radio in Big Data-Enabled IoT 138
4.3 Challenges Posed by Internet of Energy Harvesting Cognitive Radios 139
4.4 Integration of Energy Harvesting Cognitive Radios with the Internet 141
5 General Framework of IoEH-CRs for Big Data Applications 142
5.1 Operation Overview 142
5.2 Node Architecture 143
5.3 Network Architecture 145
5.4 Discussion on Existing and Future Applications of IoEH-CRs for Big Data 146
6 Conclusion 147
References 149
Cultural IoT Framework Focusing on Interactive and Personalized Museum Sightseeing 152
1 Introduction 153
2 IoT Interactive Museums 154
3 Related Work on Cognitive IoT Museum Services 156
4 Related Work on System Architecture of Smart Museums 157
5 IRME Framework Services and Protocols 161
6 IRME Communication Protocols and Services Interoperability 169
6.1 Data Exchange Protocol of the Thematic Tour and Interactive Services 169
6.2 Navigation Service Protocol 170
6.3 Cognitive Service Protocol 171
6.4 Enhanced, Augmented Projection Protocol 173
6.5 Haptic Protocol 175
6.6 3D Modeling and Printing Protocol 177
7 Conclusions 178
References 179