We present a middleware-based protocol that reliably synchronizes large samples consisting of multiple frames efficiently and within application level QoS requirements over a lossy wireless channel. The protocol uses a custom retransmission scheme, exploiting the latency requirements on sample level for frame level scheduling. It can be integrated into the popular DDS middleware. We investigate some technical limits of such a protocol and compare it to existing error protocols in the software stack and in the wireless protocol and combinations thereof. The comparison is based on an Omnet++ simulation using an established wireless channel error model. For evaluation, we take a use case from automated valet parking where infrastructure data provided via a wireless link augments in-vehicle sensor data. The use case respects the related safety requirements. Results show that the application awareness of the presented protocol, significantly improves service availability by transmitting data efficiently in time even under higher frame error rates.

A middleware protocol for time-critical wireless communication of large data samples

**Session chair:** Jan Reineke

- 25 min: [**Cluster-based Network Time Synchronization for Resilience with Energy Efficiency (Artifact Evaluated)**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a149/280200a149.pdf), *Nitin Shivaraman, Patrick Schuster, Saravanan Ramanathan, Arvind Easwaran and Sebastian Steinhorst*
- 25 min: [**A middleware protocol for time-critical wireless communication of large data samples (Artifact Evaluated)**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a001/280200a001.pdf), *Jonas Peeck, Mischa Möstl, Tasuku Ishigooka and Rolf Ernst*
- 25 min: [**Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications Using Reinforcement Learning (Artifact Evaluated)**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a227/280200a227.pdf), *Ming Hu, Jiepin Ding, Min Zhang, Frederic Mallet and Mingsong Chen*
- 25 min: [**Resilient Mixed-Trust Scheduling**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a368/280200a368.pdf), *Dionisio de Niz, Bjorn Andersson, Hyoseung Kim, Mark Klein and John Lehoczky*



3.21 - Networking and Security

technical paper

 **RTSS 2021** has successfully concluded. Hope you have enjoyed it, and look forward to seeing you next year in person.
    Announcement for the Awards:
 * Best Paper Award goes to: Monte Carlo Response-Time Analysis, Sergey Bozhko, Georg von der Brüggen, and Björn Brandenburg
 * Best Student Paper Award goes to: Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems, Mohsen Shekarisaz, Lothar Thiele, and Mehdi Kargahi.
 * Best Solution Award for Industry Session goes to: Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, and Guozhen Tan.



IEEE RTSS 2021

The IEEE Real-Time Systems Symposium (RTSS) is the premier conference in the field of real-time systems, and is a venue for researchers and practitioners to showcase innovations covering all aspects of real-time systems, including theory, design, analysis, implementation, evaluation, and experience. 

Rolf Ernst

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A middleware protocol for time-critical wireless communication of large data samples

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