What are the last and TOP 10 research areas for computer networks in 2023 ?

Dear Ammar O. Hasan,

the spectrum of current research areas for computer networks is very broad. This includes in particular areas related to the IoT.

Here is my list of these area:

Industrial IoT (IIoT), Internet of Robotic Things (IoRT),
Internet of Vehicles (IoV),
Internet of Drones (IoD),
Mobile Cloud Computing in 5G,
Time-sensitive IoT/5G Applications,
Intelligent IoT, Cognitive IoT, Ambient Intelligence in IoT
Vehicle-to-Everything (V2X) Service,
Time Sensitive Networking (TSN), Time-Sensitive SDN,
AI-based Networking, AI-enabled SDN,
AI, IoT, 5G and 5G Convergence,

Best regards and much success

Anatol Badach

Industrial IoT (IIoT)

Cristina Paniagua, Jerker Delsing: „Industrial Frameworks for Internet of Things: A Survey“; IEEE Systems Journal, Vol. 15, Issue 1, Mar 2021; DOI: 10.1109/JSYST.2020.2993323

Yulei Wu, Hong-Ning Dai, Haozhe Wang, Zehui Xiong, Song Guo: “A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory”; IEEE Communications Surveys & Tutorials, Vol. 24, Issue 2, Mar 2022; DOI: 10.1109/COMST.2022.3158270

Internet of Robotic Things (IoRT)

Davide Villa, Xinchao Song, Matthew Heim, Liangshe Li: „Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions“; arXiv:2101.06256v1, Jan 2021; DOI: 10.48550/arXiv.2101.06256

Aqsa Sayeed, Chaman Verma, Neerendra Kumar, Neha Koul, Zoltán Illés: Approaches and Challenges in Internet of Robotic Things; Future Internet, Vol. 14. Issue 9, Sep 2022; DOI:10.3390/fi14090265

Internet of Vehicles (IoV)

Jiajie Guo, Muhammad Bilal, Yuying Qiu, Cheng Qian, et al: „ Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities“; Digital Communications and Networks, Jun 2022; DOI: 10.1016/j.dcan.2022.05.023

Internet of Drones (IoD)

Laith Abualigah, Ali Diabat, Putra Sumari, Amir H. Gandomi: „Applications, Deployments, and Integration of Internet of Drones (IoD): A Review“; IEEE Sensors Journal, Vol. 21, Issue: 22, Nov 2021; DOI: 10.1109/JSEN.2021.3114266

Mobile Cloud Computing in 5G

Ghadeer Alwafi, Mona Alrougi, Rahaf Alsulami, Shaimaa Salama: A Survey of Mobile Cloud Computing Challenges and Solutions; International Journal of New Technology and Research (IJNTR); Vol. 7, Issue 3, Mar 2021; https://doi.org/10.31871/IJNTR.7.3.6

Time-sensitive IoT/5G Applications

Ume Kalsoom Saba, Saif ulIslam, Humaira Ijaz, Joel J. P. C. Rodrigues, Abdullah Gani, Kashif Munir: Planning Fog networks for time-critical IoT requests; Computer Communications, Vol. 172, Apr 2021; DOI:10.1016/j.comcom.2021.03.002

Intelligent IoT, Cognitive IoT

Yuan Li, Wai Chen, Yu Ding, Yakun Qie, Chuntian Zhang: „A Vision of Intelligent IoT — Trends, Characteristics and Functional Architecture“; International Wireless Communications and Mobile Computing (IWCMC), Jun 2022; DOI: 10.1109/IWCMC55113.2022.9824304

Ambient Intelligence in IoT

Hakilo Sabit, Peter Han Joo Chong, Jeff Kilby: Ambient Intelligence for Smart Home using The Internet of Things; 29th International Telecommunication Networks and Applications Conference (ITNAC), Nov 2019; DOI: 10.1109/ITNAC46935.2019.9078001

Vehicle-to-Everything (V2X) Service

Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, Mohammad Omar Khyam, et al: “6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities”: Proceedings of the IEEE, Vol. 110, Issue 6, Jun 2022; DOI: 10.1109/JPROC.2022.3173031

Time Sensitive Networking (TSN)

Tommaso Fedullo, Alberto Morato, Federico Tramarin, Luigi Rovati, Stefano Vitturi: A Comprehensive Review on Time Sensitive Networks with a Special Focus on Its Applicability to Industrial Smart and Distributed Measurement Systems; Sensors (Basel), Feb 2022, PMC8879530; DOI: 10.3390/s22041638

Time-Sensitive SDN

Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt: Secure Time-Sensitive Software-Defined Networking in Vehicles; arXiv:2201.00589; Aug 2022; DOI:10.1109/TVT.2022.3202368

AI-based Networking

Tianzhu Zhang, Han Qiu, Marco Mellia, Yuanjie Li, Hewu Li, Ke Xu: „Interpreting AI for Networking: Where We Are and Where We Are Going“; IEEE Communications Magazine, Vol. 60, Issue 2, Feb 2022; DOI: 10.1109/MCOM.001.2100736

AI-enabled SDN

Jinfang Jiang, Chuan Lin, Guangjie Han, Adnan M. Abu-Mahfouz, Syed Bilal Hussain Shah, Miguel Martínez-García; „How AI-enabled SDN technologies improve the security and functionality of industrial IoT network: Architectures, enabling technologies, and opportunities“; Digital Communications and Networks, Jul 2022; DOI: 10.1016/j.dcan.2022.07.001

AI, IoT, 5G and 5G Convergence

Leila Ismail, Rajkumar Buyya: „Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions“; Sensors, Vol. 22, Issue 15, Aug 2022; DOI:10.3390/s22155750

Md. Humayun Kabir

As an AI language model, I cannot predict the future or provide a definitive list of the top research areas for computer networks in 2023. However, based on current trends and developments in the field, here are ten potential research areas that could be of interest in the near future:

5G and beyond: The development of 5G networks is ongoing, and research in this area is likely to continue as 5G deployment expands globally. In addition, research into future generations of wireless networks beyond 5G, such as 6G, may also be a focus.

Edge computing: As more devices are connected to the Internet of Things (IoT), edge computing has become increasingly important. Research into optimizing network performance at the edge and security and privacy concerns is likely to continue.

Software-defined networking (SDN): SDN has the potential to improve network management, reduce costs, and increase flexibility. Research in this area will likely focus on improving performance, scalability, and security.

Network virtualization: Network virtualization allows multiple virtual networks to run on a single physical network, improving resource utilization and flexibility. Research in this area may focus on optimizing virtual network performance and improving security.

Network function virtualization (NFV): NFV involves virtualizing network functions, such as firewalls and load balancers, and running them on commodity hardware. Research in this area may focus on improving NFV performance, scalability, and security.

Cloud computing: Cloud computing has transformed how networks are managed and deployed. Research in this area may focus on improving cloud performance, scalability, and security and addressing privacy concerns.

Artificial intelligence (AI) and machine learning (ML): AI and ML can potentially improve network performance and security. Research in this area may focus on developing new algorithms and techniques for network optimization, anomaly detection, and threat detection.

Quantum networking: Quantum networking has the potential to provide unprecedented levels of security and privacy. Research in this area may focus on developing new protocols and technologies for quantum key distribution and other quantum-based network applications.

Blockchain-based networking: Blockchain technology has the potential to provide secure and decentralized networking. Research in this area may focus on developing new protocols and applications for blockchain-based networking.

Network security: As networks become more complex and cyber threats become more sophisticated, research into network security will likely continue to be a high priority. Areas of focus may include threat detection, intrusion prevention, and incident response.

It's important to note that these are just potential areas of research and are not a definitive list of the top research areas for computer networks in 2023. The field of computer networks is constantly evolving, and new developments and challenges may arise that require research and innovation in other areas.

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