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A. Alenezi

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Open access Aug 2026

Digital Twin-Assisted Chance-Constrained Energy-Aware Scheduling for Self-Sustainable IIoT Networks

The proposed Digital Twin-enabled proactive scheduling framework for self-sustainable IIoT networks under stochastic operating conditions reduces energy outage events to below 1%, maintains reliable operation under increasing energy uncertainty with only a modest sensing-utility reduction, and incurs negligible computa...

A. Alenezi · 0 citations
Open access Jul 2026

Digital Twin-Enabled Proactive Scheduling with Physical Layer Security for Self-Sustainable Industrial IoT Networks

A Digital Twin-enabled proactive scheduling framework that transforms IIoT scheduling from reactive to proactive, and improves the sustainability, efficiency, and security of IIoT networks with practical computational overhead, making it well suited for Industry 5.0 deployments.

A. Alenezi · 0 citations
Open access Jul 2026

Toward Zero-Downtime Industrial IoT: Digital Twin-Enabled Predictive Wireless Power Transfer and Sensing Scheduling

A digital twin (DT)-enabled predictive scheduling framework in which a DT layer co-located with a multi-access edge computing (MEC) control center continuously mirrors the physical network state and generates H-slot look-ahead scheduling decisions before depletion can occur validating the zero-downtime paradigm for lar...

A. H. Alenezi · 0 citations

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