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Ivonne Andrea Mantilla González

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Ivonne Andrea Mantilla González
Raum 4.077, Gebäude E
Am Schwarzenberg-Campus 3
21073 Hamburg
Telefon040 42878 - 3448
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Publikationen

Ivonne Andrea Mantilla Gonzales und Volker Turau. Comparison of WiFi Interference Mitigation Strategies in DSME Networks: Leveraging Reinforcement Learning with Expected SARSA. In Proceedings of IEEE International Mediterranean Conference on Communications and Networking, IEEE, September 2023, pp. 270–275. Dubrovnik, Croatia.
@InProceedings{Telematik_MeditCom_2023, author = {Ivonne Andrea Mantilla Gonzales and Volker Turau}, title = {Comparison of WiFi Interference Mitigation Strategies in DSME Networks: Leveraging Reinforcement Learning with Expected SARSA}, booktitle = {Proceedings of IEEE International Mediterranean Conference on Communications and Networking}, pages = {270-275}, publisher = {IEEE}, day = {4-7}, month = sep, year = 2023, location = {Dubrovnik, Croatia}, }
Abstract: IEEE 802.15.4 Deterministic and Synchronous Multichannel Extension (DSME) networks have demonstrated their robustness in industrial environments, particularly in data collection scenarios. However, their performance in coexistence with other wireless technologies, such as WiFi, remains largely unexplored. In this work, we perform a simulation analysis using the OpenDSME framework to evaluate the effect of WiFi interference on a DSME network for data collection, considering different channel diversity mechanisms. The proposed strategies include an overprovisioning scheme and the adoption of the recently proposed virtual sink strategy to countermeasure the inherent funnel effect. Our findings indicate that, in general, channel adaptation outperforms channel hopping, except in scenarios with high transmission rates and limited resources, where channel hopping is more effective. When comparing the proposed strategies, the frequency selection algorithm based on reinforcement learning using Expected State-Action-Reward-State-Action (SARSA) demonstrates the most favorable overall performance in the presence of WiFi interference.
Ivonne Mantilla González, Meyer Florian und Volker Turau. A Comprehensive Performance Comparison of IEEE 802.15.4 DSME and TSCH in a Realistic IoT Scenario for Industrial Applications. ACM Transactions on Internet of Things, 1–30, Juni 2023.
@Article{ACM Transactions on Internet of Things_2023, author = {Ivonne Mantilla González and Meyer Florian and Volker Turau}, title = {A Comprehensive Performance Comparison of IEEE 802.15.4 DSME and TSCH in a Realistic IoT Scenario for Industrial Applications}, pages = {1-30}, journal = {ACM Transactions on Internet of Things}, publisher = {Association for Computing Machinery}, month = jun, year = 2023, }
Abstract: In the Industrial Internet of Things (i.e., IIoT), the standardization of open technologies and protocols has achieved seamless data exchange between machines and other physical systems from different manufacturers. At the MAC sublayer, the industry-standard protocols IEEE 802.15.4 Time Slot Channel Hopping (TSCH) and Deterministic and Synchronous Multi-channel Extension (DSME) show promising properties for high adaptability and dynamically changing traffic. However, performance comparison between these MAC protocols rarely has gone beyond a simulation phase. This work presents the results of such a comparison on physically deployed networks using the facilities of the FIT-IoTLab. The evaluation includes fully implementing an IIoT protocol stack based on MQTT in Contiki-NG. It comprises the integration of DSME as part of Contiki-NG’s software stack through OpenDSME, the only publicly available implementation of DSME. Results show that both protocols suit IIoT applications, particularly for data collection. The comparison between TSCH and DSME also includes an evaluation of distributed schedulers for both MAC modes and one autonomous scheduler for TSCH within a UDP protocol stack.
Ivonne Andrea Mantilla Gonzales und Volker Turau. A Virtual Sink-based Strategy for reducing the Funneling Effect in IEEE 802.15.4 DSME Networks. In Proceedings of 18th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS), IEEE explore, Mai 2022. Los Angeles, USA.
@InProceedings{Telematik_dcoss_2022, author = {Ivonne Andrea Mantilla Gonzales and Volker Turau}, title = {A Virtual Sink-based Strategy for reducing the Funneling Effect in IEEE 802.15.4 DSME Networks}, booktitle = {Proceedings of 18th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS)}, pages = , publisher = {IEEE explore}, day = {30-1}, month = may, year = 2022, location = {Los Angeles, USA}, }
Abstract: The MAC protocol IEEE 802.15.4 DSME has features for WSNs to support exigent requirements such as high reliability and adaptability to dynamic traffic. This work introduces the concept of a virtual sink, which comprises the sink and its 1-hop neighbors, a.k.a. satellites, as the core of a strategy to alleviate the burden caused by the funneling effect in data collection scenarios. Our strategy enables the coexistence of a centralized scheduling algorithm at the virtual sink and a decentralized scheduling algorithm for the remaining nodes of the network. Through a simulative assessment, we compare the performance of the virtual sink-based strategy with the status quo of DSME via a decentralized slot scheduler TPS. Results show an improvement of the network throughput of up to 38% and a reduction of the energy consumption of about 30% at satellites.

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