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Florian Meyer

Picture of Florian Meyer
Florian Meyer
Room 4.085, building E
Am Schwarzenberg-Campus 3
21073 Hamburg
phone+49 40 42878 - 3746
fax+49 40 427 - 3 - 10456
e-mail

Teaching

Projects

Publications

Florian Meyer, Ivonne Andrea Mantilla-Gonzales, Florian Kauer and Volker Turau. Performance Analysis of the Slot Allocation Handshake in IEEE 802.15.4 DSME. In Proceedings of 18th International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2019) - to be published, October 2019. Luxembourg.
@InProceedings{Telematik_adhocnow_2019, author = {Florian Meyer and Ivonne Andrea Mantilla-Gonzales and Florian Kauer and Volker Turau}, title = {Performance Analysis of the Slot Allocation Handshake in IEEE 802.15.4 DSME}, booktitle = {Proceedings of 18th International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2019) - to be published}, pages = , day = {1-3}, month = oct, year = 2019, location = {Luxembourg}, }
Florian Meyer and Volker Turau. Delay-Bounded Scheduling in IEEE 802.15.4e DSME using Linear Programming. In Proceedings of 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), May 2019, pp. 659–666. Santorini, Greece.
@InProceedings{Telematik_ISIoT_2019, author = {Florian Meyer and Volker Turau}, title = {Delay-Bounded Scheduling in IEEE 802.15.4e DSME using Linear Programming}, booktitle = {Proceedings of 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)}, pages = {659-666}, day = {29-31}, month = may, year = 2019, location = {Santorini, Greece}, }
Abstract: The Deterministic and Synchronous Multi-Channel Extension (DSME) protocol is a recent amendment to the IEEE 802.15.4 standard. It combines contention-based and time-division medium access, offers channel diversity, and is aimed to support IIoT applications with stringent requirements in terms of timeliness and reliability. In this paper, we show how to configure DSME for a given data collection task. This includes the definition of the slot and frame length and the slot and channel schedule. We formulate different scheduling strategies as linear programs minimizing latency and energy. We verify our results through theoretical analysis and simulations and compare them with state-of-the-art scheduling algorithms. The results indicate a reduced delay of up to 80% for deep networks while also increasing reliability. Additionally, the proposed scheduling strategies significantly reduce the required buffer size.

The complete list of publications is available separately.

Supervised Theses

Ongoing Theses