Special Issue on artificial intelligence, internet of things and data science for communication systems

Introduction:

The aim of artificial intelligence (AI), Internet of Things (IoT) and data science in digital communication networks is to facilitate collaboration between industry and academia in revolutionizing networks and systems by tapping the capabilities of the three technologies.

In particular, recent developments in IoT, mobility and fixed communication processes have set the stage for a data-oriented society. More frequent machine-to-machine connections bring new workloads that require efficient, reliable infrastructures. The diversity of applications and traffic will necessitate agile networks with self-improvement capabilities to guarantee high dependability and extremely short response times.

Network devices, sensors, agents, meters and smart vehicles and systems generate large quantities of data which challenge security, performance and reliability measures. Such complexities demand modern techniques for operating effective services, as well as management tools for analytics that allow prediction of network activities before issues arise. Moreover, data mining to detect Quality of Experience (QoE) signals can improve users' satisfaction.

This special issue will feature articles addressing the numerous topics within the scope, including but not limited to: 

• All aspects of AI, IoT, machine learning, reinforcement learning and data analytics aiming at enabling and enhancing next generation networks
• Systems, methods, and infrastructure for the analysis of network, service traffic and user behavior for efficient and reliable design of networks, including deep learning and statistical methods for network tomography
• IoT network intrusion detection
• AI, IoT and wireless sensor network (WSN)
• Graph-Neural-Network
• Adversarial attacks in IoT
• Predictive analytics, big data analytics, and AI for network optimization, network security, network assurance, and data privacy
• Diagnosis of network failures using analytics and AI
• Automated communication infrastructure among smart machines and agents
• Information fusion for automation and enablement of multi-agent systems
• Communication and networking to facilitate smart data-centric applications
• IoT and robotics applications in smart cities powered by AI, mobile robot applications, mapping
• Applied computing, neural networks, computing technologies i.e., cloud, edge, fog, etc.

Important dates:

• Submission deadline: 31 December 2023
• First notification: 28  February 2024
• Revised version deadline: 30 April 2024
• Final notification: 30  June  2024
• Publication date: 30 October 2024

Submission Instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online via the editorial management system, please select article type AIID.

Guest editors:

• Su Xin (Lead Guest Editor), Hohai University, P.R China. leosu8622@163.com
• Francesco PALMIERI, University of Salerno, Italy. fpalmieri@unisa.it
• Celimuge Wu, The University of Electro-Communications, Japan. celimuge@uec.ac.jp