# Adaptive Parameters for LoRa-Based Networks Physical-Layer
## 3 Proposal
### SlidingChange: A Proposal of a Sliding Window for Automatic Parameter Changing
Moreover, the sliding window technique was better than the windowless technique, noting that those better results, depending on the window length and parameter, are being taken into consideration (number of changes or SNR gain), whichever is more important for some appliances or others. Finally, according to [34], until 2020 it was expected for there to be more than 25 billion Internet-connected devices. Only in the United States, as pointed out by [35], it is believed that the IoT market spending was around $245 billion and would reach $8.131 trillion in 2030. Studies such as this one, which aim to enhance devices' efficiency and effectiveness in connecting and interacting with computer networks, are relevant to support improving the process of devices' interconnections. In future work, we intend to investigate other methodologies to support the decision-making process of the frequency changes. For example, using other types of sliding windows, calculating the impact of those setups and the length of the windows, as well as calculations through an exponential moving average. The authors also intend to investigate the impact of the proposed techniques, comparing them with other technologies and frequency spectra beyond LoRa, such as LPWAN. Future works can consider evaluating the pros and cons of using sliding window techniques compared to other optimization techniques based on ADR. We also intend to conduct an experimental study to analyze the trade-offs between physical-layer and network performance parameters such as energy efficiency and latency. **Author Contributions:** Conceptualization, E.F.S. and L.M.F. ; Methodology, E.F.S. ; Software, L.M.F. ; Validation, L.M.F. ; Investigation, L.M.F. ; Resources, E.F.S. ; Data curation, D.R. ; Writing--review & editing, E.F.S., L.A.d.O., L.J.C., A.L.d.O., D.R. and E.C. ; Supervision, L.J.C. and D.R. ; Funding acquisition, E.F.S. All authors have read and agreed to the published version of the manuscript. This research received no external funding. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Acknowledgments:** The authors would like to thank UFJF, Secure and Safe Multi-Robot Systems (SESAME) H2020 Project under Grant Agreement 101017258, CNPq (National Council for Scientific and Technological Development), CAPES, and FAPEMIG (APQ-00999-18 and APQ-00743-22). **Conflicts of Interest:** The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ## References

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