Barrachina-Muñoz S, Adame T, Bel A, Bellalta B. Towards Energy Efficient LPWANs Through Learning-based Multi-hop Routing. 2019 IEEE World Forum on Internet of Things (WF-IoT 2019)
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
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Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
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Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
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UbicaLab |
Wireless Networking |
Educational Technologies |
Barrachina-Muñoz S, Adame T, Bel A, Bellalta B. Towards Energy Efficient LPWANs Through Learning-based Multi-hop Routing. 2019 IEEE World Forum on Internet of Things (WF-IoT 2019)
Barrachina-Muñoz S, Adame T, Bel A, Bellalta B. Towards Energy Efficient LPWANs Through Learning-based Multi-hop Routing. 2019 IEEE World Forum on Internet of Things (WF-IoT 2019)
Low-power wide area networks (LPWANs) have been identified as one of the top emerging wireless technologies due to their autonomy and wide range of applications. Yet, the limited energy resources of battery-powered sensor nodes is a top constraint, especially in single-hop topologies, where nodes located far from the base station must conduct uplink (UL) communications in high power levels. On this point, multi-hop routings in the UL are starting to gain attention due to their capability of reducing energy consumption by enabling transmissions to closer hops. Nonetheless, a priori identifying energy efficient multi-hop routings is not trivial due to the unpredictable factors affecting the communication links in large LPWAN areas. In this paper, we propose epsilon multi-hop (EMH), a simple reinforcement learning (RL) algorithm based on epsilon-greedy to enable reliable and low consumption LPWAN multi-hop topologies. Results from a real testbed show that multi-hop topologies based on EMH achieve significant energy savings with respect to the default single-hop approach, which are accentuated as the network operation progresses.
Additional material:
- Datasets in Github
- arXiv pre-print