Intelligent Wireless Communications.

Format:

Book

Author/Creator:

Mastorakis, George.

Contributor:

Mavromoustakis, Constandinos X.

Batalla, Jordi Mongay.

Pallis, Evangelos.

Series:

Telecommunications

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (452 pages)

Edition:

1st ed.

Place of Publication:

Stevenage : Institution of Engineering & Technology, 2021.

Summary:

Aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices and networks, this edited book presents recent research and innovations in emerging AI methods and AI-powered mechanisms, and future perspectives in this field.

Contents:

Intro

Contents

About the editors

1. An overview of the intelligent big data analytics and their technological presence in the modern digital age | Reinaldo Padilha Franca, Ana Carolina Borges Monteiro, Rangel Arthur and Yuzo Iano

1.1 Introduction

1.2 Big data

1.3 Artificial intelligence

1.4 Big data analytics

1.5 Discussion

1.6 Trends

1.7 Conclusions

References

2. Artificial intelligence in IoT and its applications | Mona Bakri Hassan, Elmustafa Sayed Ali, Nahla Nurelmadina and Rashid A. Saeed

2.1 Introduction

2.2 AI revolution in IoT

2.3 Intelligent sensing

2.4 Feature of AI with IoT

2.5 Intelligent machine and deep learning in IoT

2.6 IoT-based AI data access and distributed processing

2.7 AI contribution aspects to Internet of things

2.8 AI for IoT applications

2.9 Summary

3. Green energy harvesting protocols for intelligent wireless communication systems | Ganesh Prasad and Deepak Mishra

3.1 Background and motivation

3.2 Architecture of energy harvesting wireless networks

3.3 Energy harvesting models for intelligent wireless communications

3.4 AI-assisted online algorithms for optimal energy harvesting communications

3.5 Optimal resource allocation in EH self-sustainable communication systems

3.6 Conclusion and future directions

4. Discrete wavelet transform applications in the IoMT | Tamara K. Al-Shayea, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Evangelos Pallis, Evangelos K. Markakis, Imran Khan and Dinh-Thuan Do

4.1 Introduction

4.2 The discrete wavelet transform

4.3 DWT applications

4.4 Conclusions

4.5 Future work

5. Intelligent agents system for medical information communication | Mariya Evtimova-Gardair and Evangelos Pallis

5.1 Introduction.

5.2 Analysis of the agent technologies

5.3 Usage of multiagent system for extraction of information

5.4 Big data impact when searching

5.5 Model of the multiagent searching system

5.6 Conceptual schema of the proposed searching system

5.7 Implementation of the searching system in Internet

5.8 Implementation of the intelligent system in Internet

5.9 Conclusion

6. Intelligent Internet of things in wireless networks | Mona Bakri Hassan, Elmustafa Sayed Ali and Rashid A. Saeed

6.1 Introduction

6.2 IoT networks

6.3 Reprogrammable and reconfigurable of IoT devices

6.4 Open source platforms in IoT networks

6.5 Analysis IoT network context

6.6 Intelligent IoT network algorithms and strategy

6.7 Heterogeneous IoT-based 5G networks

6.8 IoT network adaptive quality of service

6.9 Summary

7. Impact of jamming signal on system performance in downlink of IoT network relying on nonorthogonal multiple access | Thi-Anh Hoang, Chi-Bao Le, Dinh-Thuan Do, Imran Khan, Constandinos X. Mavromoustakis, George Mastorakis, Evangelos Pallis and Evangelos K. Markakis

7.1 Introduction

7.2 Consideration on IoT system under the impact of a jamming signal

7.3 Outage probability and throughput analysis

7.4 Numerical results

7.5 Conclusion

8. QoS of communication networks using MPLS protocol | Azeddien M. Sllame

8.1 Introduction

8.2 Definitions related to chapter context

8.3 Quality of service principles

8.4 MPLS principles

8.5 MPLS and multimedia

8.6 MPLS mechanism and data center design

8.7 MPLS-based network-on-chip simulator

8.8 Conclusion

References.

9. Damaged critical infrastructure for VANETs | Grace Khayat, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Hoda Maalouf, Evangelos Pallis, Evangelos K. Markakis, Imran Khan and Naercio Magaia

9.1 Introduction

9.2 VANET architectures

9.3 VANET hybrid architecture

9.4 VANET routing

9.5 VANET routing protocols

9.6 Cluster routing protocol

9.7 Clustering objectives

9.8 Clustering protocols

9.9 Cluster head selection protocols

9.10 Cluster head election criteria

9.11 VANET cluster routing protocols review

9.12 Clusters with double cluster head

9.13 Cluster merging

9.14 VANET in crisis

9.15 Weighted double cluster head selection

9.16 Conclusion

10. Artificial intelligence-enabled optical wireless communication links: a revolutionary approach toward smart communication model | Rajan Miglani, Jagjit Singh Malhotra, Sushank Chaudhary and Gurjot Singh Gaba

10.1 Introduction

10.2 Overview of optical wireless communication systems

10.3 Introduction to artificial intelligence

10.4 AI for optical links: opportunities and challenges

10.5 Summary

11. Intelligent underwater wireless communications | Elmustafa Sayed Ali and Rashid A. Saeed

11.1 Introduction

11.2 Underwater EM wireless communication

11.3 Underwater communication networks

11.4 Internet of underwater things

11.5 Underwater intelligent data gathering system

11.6 The underwater intelligent recharge docking system

11.7 Intelligent UWC methodologies

11.8 Intelligent UWC modeling

11.9 Summary

12. Machine learning algorithms for smart data analysis in the Internet of things: an overview | Mohammed H. Alsharif, Anabi Hilary Kelechi, Imran Khan, Mahmoud A. Albreem, Abu Jahid, Constandinos X. Mavromoustakis, George Mastorakis, Evangelos Pallis and Evangelos K. Markakis

12.1 Introduction

12.2 Taxonomies of supervised and unsupervised ML algorithms

12.3 Research trends and open issues

12.4 Conclusions and recommendations

13. Artificial intelligence and machine learning aided blockchain systems to address security vulnerabilities and threats in the industrial Internet of things | Karanjeet Choudhary, Gurjot Singh Gaba, Rajan Miglani, Lavish Kansal and Pardeep Kumar

13.1 Introduction

13.2 Birth of industrial Internet of things

13.3 Application areas and current examples of its use

13.4 Implementation challenges of IIoT

13.5 Vulnerabilities, threats, and risks

13.6 Security considerations

13.7 Future of IIoT

13.8 Introduction to blockchain

13.9 Introduction to AI

13.10 Introduction to machine learning

13.11 Conclusions

14. Improved gain vector-based recursive least squares for smart antenna applications | Peter N. Chuku, Thomas O. Olwal and Karim Djouani

14.1 Introduction

14.2 Related work

14.3 System model

14.4 Performance evaluation and results

14.5 Conclusions

Acknowledgments

15. Forecast of electricity consumption: a comparison of ARIMA and neural networks | Theodoros Pseftelis, Constandinos Mavromoustakis, George Mastorakis, Periklis Chatzimisios, Evangelos K. Markakis, Evangelos Pallis and Jordi Mongay Batalla

15.1 Introduction

15.2 Data overview

15.3 ARIMA

15.4 Neural networks

15.5 Compare methods

16. Smart interoperability public safety wireless network | Adil Akasha, Rashid A. Saeed and Elmustafa Sayed Ali

16.1 Introduction

16.2 Public safety and emergency networks

16.3 The need for public safety and emergency collaboration

16.4 Cooperative wireless communication

16.5 Radio systems in public safety and emergency

16.6 Characteristics of smart radios

16.7 Vision of new communications generation for emergency

16.8 Recent public safety interpretability systems and future directions

16.9 Conclusion

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9781523136582

1523136588

9781839530968

1839530960

OCLC:

1251447430