Symmetry/Asymmetry in Wireless Communications for Secure IoT Networks

Dear Colleagues,

Wireless communication systems and techniques for signal processing are crucial in modern wireless networks. The principles of symmetry and asymmetry influence system performance and designing. When analyzing the impact of interference in wireless systems, we often assume channel symmetry, power distribution, spectrum, etc. However, real-world conditions involve varying propagation environments and heterogeneous networks, which necessitate the analysis of asymmetry during the design process.

In recent years, the emergence of artificial intelligence (AI) and machine learning (ML) has opened new horizons in various domains, particularly the Internet of Things (IoT) and wireless sensor networks. The heterogeneity and numerosity of devices in such networks pose many challenges not only in terms of scalability and interoperability, but also with regard to security and privacy. Meanwhile, the breakthrough of generative artificial intelligence (GenAI) has become a key enablers of innovation—especially through the adoption of large language models (LLMs) and vision language models (VLMs). While LLMs exhibit strong capabilities in text summarization and generation, VLMs allow for the understanding of visual representations.

Moreover, agentic AI approaches are emerging to complement these models and bridge gaps in reasoning and decision-making. As a result, there is great potential for process automation in IoT and wireless sensor network communication through the synergy of GenAI and agentic approach methods, including novel techniques for sensor data fusion, interpretation, and intelligent decision-making.

Symmetry is an extraordinary property that has been widely explored in the research fields of wireless communication, including IoT and wireless sensor networks. This Special Issue invites original research that investigates the roles of symmetry and asymmetry in IoT and wireless sensor networks communication, particularly studies that explore the use of of state-of-art GenAI-based techniques for these purposes. Our aim is to share expertise among scholars, researchers, and industry professionals, bridging the gap between innovation and practical application.

Potential topics include, but are not limited to, the following:

• Modelling of wireless communication channels and networks based on symmetry/asymmetry;
• Symmetry/asymmetry for IoT devices interoperability in wireless communication and sensor networks;
• Symmetry/asymmetry-based approach to performance estimation in IoT systems and sensor networks relying on wireless communication channels;
• Symmetry/asymmetry communication for IoT frameworks in wireless communication and sensor networks;
• Symmetry/asymmetry privacy and security challenges in IoT wireless communication and sensor networks;
• Symmetry/asymmetry resource allocation schemes in IoT wireless communication and sensor networks;
• Symmetry/asymmetry encryption for IoT devices in wireless communication and sensor networks;
• Symmetry/asymmetry methods for sensor data fusion and signal processing within IoT systems.

We look forward to receiving your contributions.

Dr. Dragana S. Krstic
Prof. Dr. Mariusz Głąbowski
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• wireless channel modelling and performance
• generative artificial intelligence (GenAI)
• Internet of Things (IoT)
• sensor data fusion
• security
• encryption
• security and privacy in wireless systems