Call for Papers: Ad Hoc Networks Special Issue on Trustworthy and Resilient Edge AI Systems

We are pleased to share that members of the National Edge AI Hub and international colleagues are guest editing a Special Issue in the Elsevier journal Ad Hoc Networks on Trustworthy and Resilient Edge AI Systems: Engineering, Validation, and Deployment under Cyber Disturbance and Data Degradation.

The Special Issue focuses on the growing need for edge AI systems that can operate reliably in dynamic and adverse environments. As edge intelligence is increasingly deployed across ad hoc, sensor, and IoT networks, systems must function under unreliable connectivity, partial failures, cyber-attacks, adversarial behaviour, and degraded or drifting data. This Special Issue provides a forum for researchers and practitioners to present advances in the engineering, validation, and real-world deployment of trustworthy and resilient edge AI systems.

Special Issue: Trustworthy and Resilient Edge AI Systems: Engineering, Validation, and Deployment under Cyber Disturbance and Data Degradation
Journal: Ad Hoc Networks (Elsevier)
Submission open date: 31 March 2026
Submission deadline: 30 September 2026

Learn more: special issue webpage

Guest editors:

• Dr Ellis Solaiman, Newcastle University, UK
• Prof. Omer Rana, Cardiff University, UK
• Dr Karan Mitra, Luleå University of Technology, Sweden
• Dr Lina Pu, The University of Alabama, USA
• Dr Savas Parastatidis, CVOYA LLC, USA

The Special Issue particularly welcomes contributions that move beyond idealised assumptions and demonstrate how edge AI systems remain robust, reliable, and dependable under adverse conditions. Submissions should be supported by realistic evaluation, deployment-oriented evidence, or convincing validation in representative testbeds.

The Special Issue also welcomes contributions on enabling architectures, communication protocols, runtime monitoring, and system-level optimisation techniques for edge AI systems, particularly where these influence trustworthiness, resilience, and real-world performance.

Topics of interest include, but are not limited to:

• Resilient architectures for edge AI over ad hoc and IoT networks
• Cross-layer approaches spanning networking, systems, and learning under disturbance
• Trust, robustness, and dependability in distributed edge intelligence
• Edge AI under unreliable connectivity, network churn, intermittent links, and partitions
• Cyber-attacks, adversarial behaviour, and Byzantine components in edge systems
• Handling noisy, missing, degraded, or compromised sensor data at the edge
• Data drift, concept drift, and model degradation in deployed edge AI systems
• Federated, collaborative, and decentralised learning under adverse conditions
• Monitoring, validation, assurance, and runtime governance of edge AI behaviour
• Experimental testbeds, real deployments, longitudinal studies, and reproducibility artefacts

Please submit your paper via Editorial Manager and select the article type “VSI: Trustworthy and Resilient Edge AI Systems”.

Important dates for the call for papers:

• 31/03/2026 – Submission open date
• 30/09/2026 – Paper submission deadline

Researchers working in edge AI, IoT, distributed systems, trustworthy AI, cyber resilience, and deployment-focused intelligent systems are encouraged to submit their work.