Dear Behnam Shahriari,

a very interesting, very topical and broad area of research is the conception and use of various Digital Twins (DTs) in the IoT. Artificial Intelligence is very important here.

My little literature list should give you an orientation in this area.

Best regards and much success

Anatol Badach

Yong-Woon Kim, Sangkeun Yoo, Hyunjeong Lee, Soonhung Han: Characterization of Digital Twin, Technical Report, Electronics and Telecommunications Research Institute, Jan 2021 https://www.researchgate.net/publication/348356334

See page 12: Benefits of Digital Twin

Maninder Jeet Kaur,Ved P Mishra, Piyush Maheshwar: „The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action“; in book: Digital Twin Technologies and Smart Cities, Jan 2020, DOI: 10.1007/978-3-030-18732-3_1 https://www.researchgate.net/publication/334636822

Stefano NATIVI, Alexander KOTSEV, Petra SCUDO, et al.: IoT 2.0 and the INTERNET of TRANSFORMATION (Web of Things and Digital Twins): A multi-facets analysis; European Commission, Technical Report, Sep 2020, DOI: 10.2760/553243 https://publications.jrc.ec.europa.eu/repository/handle/JRC120372

Ahmed Saad, Samy Faddel, Osama Mohammed: „IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation“; Energies, Vol. 13, Issue 18, Sep 2020, DOI:10.3390/en13184762 https://www.mdpi.com/1996-1073/13/18/4762

Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, et al.: Optimal Placement of Social Digital Twins in Edge IoT Networks; Sensors, Vol. 20, Issue 21, Oct 2020, DOI: 10.3390/s20216181 https://www.mdpi.com/1424-8220/20/21/6181

Michael Jacoby, Thomas Usländer: Digital Twin and Internet of Things -- Current Standards Landscape; Applied Sciences, Vol. 10, Issue 18, Sep. 2020, DOI:10.3390/app10186519 https://doi.org/10.3390/app10186519

Jan Zibuschka, Christopher Ruff, Andrea Horch, Heiko Roßnagel: A Human Digital Twin as Building Block of Open Identity Management for the Internet of Things; In: H. Roßnagel, C. H. Schunck, S. Mödersheim, D. Hühnlein (Hrsg): Open Identity Summit 2020, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn, 2020 https://dl.gi.de/bitstream/handle/20.500.12116/33170/proceedings-11.pdf

Secure authentication and key exchange.

Intrusion Detection System Based Medical Internet of Things Using Deep Learning

Secure communications, backscatter communications, and extending learning provisions to the IoT nodes through edge or other computing paradigms are among the many emerging topics, see e.g., the following review papers:

1) Non-Coherent and Backscatter Communications: Enabling Ultra-Massive Connectivity in 6G Wireless Networks

https://www.researchgate.net/publication/349539932_Non-Coherent_and_Backscatter_Communications_Enabling_Ultra-Massive_Connectivity_in_6G_Wireless_Networks

2) Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future:

https://www.researchgate.net/publication/332219159_Quantum_Machine_Learning_for_6G_Communication_Networks_State-of-the-Art_and_Vision_for_the_Future

IOT Security.

With 5 G devices, the IoT security can only play catch

One major research challenge related to IoT: Development of technical & regulatory safeguards to deal with the privacy threats caused by the inference of personal information from sensor data. My colleagues and I have published some overview articles on the wealth of personal information that can be inferred from accelerometer data, eye-tracking data and voice recordings. Find them here:

• Accelerometer data:

  Conference Paper Privacy Implications of Accelerometer Data: A Review of Poss...

• Voice recordings:

  Chapter Privacy Implications of Voice and Speech Analysis – Informat...

• Eye-tracking data:

  Chapter What Does Your Gaze Reveal About You? On the Privacy Implica...

Ransomware, Privacy,

I would recommend you to study the intersection of IoT and Federated Learning. The concern of Federated Learning is to train a global neural network model in a distributed way without IoT nodes having to reveal their data, thereby ensuring privacy. I am currently working in this field and I believe there are exciting opportunities to exploit. Feel free to contact me for further questions :).

Article Fast Federated Learning by Balancing Communication Trade-Offs

Preprint Fast Federated Learning by Balancing Communication Trade-Offs

AI, machine learning, robotics medicine, weather, and so on.

Please go to Internet of Mobility Things, Internet if Medical Things. Those are the recent topics that related to IoT.

Hottest topics: ransomware, blockchain, cloud computing, cryptocurrency, dark web. robotics, machine learning, so on

I think “Ai in IOT” is of the hottest

I would really recommend you to have a look at my recent paper (6G Wireless Communications Networks: A Comprehensive Survey).

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9598915