Towards an isochronous wireless communication system for industrial automation

Trsek, Henning; Tack, Tim; Givehchi, Omid; Jasperneite, Jürgen; Nett, Edgar

doi:10.1109/etfa.2013.6648158

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…It includes a link scheduler as component, but no real scheduling such as in our approach. [15] investigates an isochronous wireless communication system consisting of a deterministic MAC based on IEEE 802.11 and extended with additional features for isochronous communication. It uses IsoMAC which is based on TDMA and divides the communication into two different phases, a scheduled phase for real-time data and a contention phase for best-effort traffic.…”

Section: Related Workmentioning

confidence: 99%

Intelligent TDMA heuristic scheduling by taking into account physical layer interference for an industrial IoT environment

et al. 2017

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In an Internet of Things environment, where multiple mobile devices are brought together, it is not always possible to serve all these devices simultaneously. We developed an intelligent TDMA (Time Division Multiple Access) scheduler which allows to plan the individual packets of the different streams in such a way that everyone can be served by taking into account the interference on the physical layer. The scheduler is applied in a realistic industrial environment and evaluated based on the maximum link latency, the channel occupancy, and the jitter. Two strategies are compared: one where the packets are sequentially allocated, and one periodically. Our results show that the periodically allocated strategy performs the best for the maximum link latency (for a packet size below 1200 bytes) and for the jitter. The channel occupancy is similar for both strategies. Furthermore, the performance can be improved by using a higher number of channels. Compared to classic CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance), the channel occupancy and the jitter are reduced up to 69.9% and 99.9%, respectively. Considering the maximum link latency, the proposed TDMA strategies perform significantly better than the worst case CSMA/CA (up to 99.8%), however, when assuming a best case CSMA/CA scenario, CSMA/CA performs better. Furthermore, we clearly show that there are cases where it is not possible to plan all streams when using CSMA/CA while this becomes feasible when applying the proposed TDMA strategies.

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Section: Related Workmentioning

confidence: 99%

Intelligent TDMA heuristic scheduling by taking into account physical layer interference for an industrial IoT environment

et al. 2017

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“…These solutions typically rely on commercial 802.11 chips combined with a customized software (SW) stack to enable time synchronization and use time division multiple access (TDMA) for channel access. Some of the most relevant solutions in this category include IsoMAC [33], RT-Wi-Fi [34], and WIA-FA [35]. However, these technologies provide latencies in the range of several milliseconds, which cannot compete with the wired fieldbuses capabilities.…”

Section: Introductionmentioning

confidence: 99%

When IEEE 802.11 and 5G Meet Time-Sensitive Networking

Atiq

Muzaffar

Seijo

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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Many emerging applications require a higher level of flexibility, modularity, and efficiency but are dependent on advancements in communication infrastructure and distributed computing. Time-sensitive networking (TSN) standards aim at providing vendor agnostic, reliable, and deterministic communications over the Ethernet, but lack in flexibility and modularity provisions. In this context wireless communication systems are preferred given the obvious benefits in terms of increased flexibility, reduced deployment & maintenance costs, and inherent mobility support. However, the stochastic nature of the wireless medium poses several challenges in achieving these benefits. In this paper we comprehensively analyze the recent standardization efforts and developments in IEEE 802.11 and 5G to enable low-latency, deterministic communications and present the current status of their integration with wired TSN. Then, we present a set of use cases that may be enabled by wireless TSN including industrial automation, automotive, or audiovisual applications.

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