🤖 AI Summary
Industrial wireless real-time control of mobile devices (e.g., autonomous mobile robots, wearables) in Industry 4.0/5.0 faces dual constraints of ultra-low latency and battery energy efficiency. This paper presents the first joint quantitative evaluation of latency determinism and energy efficiency of Wi-Fi under dynamic industrial channel conditions. Leveraging a high-fidelity NS-3 simulation framework, we integrate IEEE 802.11ac/ax protocol stacks, realistic mobility models, industrial interference spectra, and dynamic transmit power control. We systematically analyze end-to-end latency distributions and energy–latency trade-offs across varying mobile speeds, node densities, and traffic loads. Our results expose the practical performance boundaries of Wi-Fi in representative industrial scenarios. The study provides empirically grounded, quantifiable insights for industrial wireless technology selection—addressing a critical gap in existing literature regarding joint spatiotemporal constraint evaluation.
📝 Abstract
To ensure an unprecedented degree of flexibility, next-generation Industry 4.0/5.0 production plants increasingly rely on mobile devices, e.g., autonomous mobile robots and wearables. In these cases, a major requirement is getting rid of cables through the adoption of wireless networks. To this purpose, Wi-Fi is currently deemed one of the most promising solutions. Achieving reliable communications over the air for distributed real-time control applications is, however, not devoid of troubles. In fact, bounded transmission latency must be ensured for most of the exchanged packets. Moreover, for devices powered on batteries, energy consumption also needs to be taken into account. In this paper, a joint simulated analysis of these aspects is carried out to quantitatively evaluate what we can practically expect from Wi-Fi technology.