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https://doi.org/10.21256/zhaw-28544| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Lessons learned on the design of a predictive agent for LoRaWAN network planning |
| Authors: | Garrido-Hidalgo, Celia Fürst, Jonathan Roda-Sanchez, Luis Olivares, Teresa Fernández-Caballero, Antonio |
| et. al: | No |
| DOI: | 10.1007/978-3-031-37616-0_8 10.21256/zhaw-28544 |
| Proceedings: | Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : the PAAMS Collection |
| Volume(Issue): | 13955 |
| Conference details: | 21st International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), Guimarães, Portugal, 12th-14th July 2023 |
| Issue Date: | 12-Jul-2023 |
| Series: | Lecture Notes in Computer Science |
| Series volume: | 13955 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-031-37615-3 978-3-031-37616-0 |
| ISSN: | 0302-9743 1611-3349 |
| Language: | English |
| Subjects: | Multi-agent system (MAS); LoRaWAN; Network prediction; Scheduling |
| Subject (DDC): | 004: Computer science |
| Abstract: | LoRaWAN is a low-power wide-area network standard widely used for long-range machine-to-machine communications in the Internet of Things ecosystem. While enabling ultra-low-power communication links, its open nature impulsed exponential market growth in the last years. Given its Aloha-like medium access nature, several scalability-oriented improvements were proposed in the last years, with time-slotted communications having raised special interest. However, how to efficiently allocate resources in a network where the cost of downlink communication is significantly higher than that of the uplink represents a significant challenge. To shed light on this matter, this work proposes the use of multi-agent systems for network planning in time-slotted communications. To do so, a predictive network planning agent is designed and validated as part of an end-to-end multi-agent network management system, which is based on multi-output regression that predicts the resulting network scalability for a given set of joining devices and setup scenarios being considered. A preliminary evaluation of network-status predictions showed a mean absolute error lower than 3% and pointed out different lessons learned, in turn validating the feasibility of the proposed agent for LoRaWAN-oriented network planning. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28544 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Restricted until: | 2024-07-12 |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_GarridoHidalgo-etal_Lessons-learned-on-the-design-of-a-predictive-Agent-for-LoRaWAN-network-planning_PAAMS.pdf Until 2024-07-12 | AcceptedVersion | 414.59 kB | Adobe PDF | View/Open |
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Garrido-Hidalgo, C., Fürst, J., Roda-Sanchez, L., Olivares, T., & Fernández-Caballero, A. (2023). Lessons learned on the design of a predictive agent for LoRaWAN network planning [Conference paper]. Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : The PAAMS Collection, 13955. https://doi.org/10.1007/978-3-031-37616-0_8
Garrido-Hidalgo, C. et al. (2023) ‘Lessons learned on the design of a predictive agent for LoRaWAN network planning’, in Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : the PAAMS Collection. Cham: Springer. Available at: https://doi.org/10.1007/978-3-031-37616-0_8.
C. Garrido-Hidalgo, J. Fürst, L. Roda-Sanchez, T. Olivares, and A. Fernández-Caballero, “Lessons learned on the design of a predictive agent for LoRaWAN network planning,” in Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : the PAAMS Collection, Jul. 2023, vol. 13955. doi: 10.1007/978-3-031-37616-0_8.
GARRIDO-HIDALGO, Celia, Jonathan FÜRST, Luis RODA-SANCHEZ, Teresa OLIVARES und Antonio FERNÁNDEZ-CABALLERO, 2023. Lessons learned on the design of a predictive agent for LoRaWAN network planning. In: Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : the PAAMS Collection. Conference paper. Cham: Springer. 12 Juli 2023. ISBN 978-3-031-37615-3
Garrido-Hidalgo, Celia, Jonathan Fürst, Luis Roda-Sanchez, Teresa Olivares, and Antonio Fernández-Caballero. 2023. “Lessons Learned on the Design of a Predictive Agent for LoRaWAN Network Planning.” Conference paper. In Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : The PAAMS Collection. Vol. 13955. Cham: Springer. https://doi.org/10.1007/978-3-031-37616-0_8.
Garrido-Hidalgo, Celia, et al. “Lessons Learned on the Design of a Predictive Agent for LoRaWAN Network Planning.” Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics : The PAAMS Collection, vol. 13955, Springer, 2023, https://doi.org/10.1007/978-3-031-37616-0_8.
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