Abstract
LoRa technology has received a lot of attention in the last few years. Numerous success stories about using LoRa technology for the Internet of Things in various implementations. Several studies have found that the use of LoRa technology has the opportunity to be implemented in indoor-based applications. LoRa technology is found more stable and is more resilient to environmental changes. Environmental change of the indoor is a major problem to maintain accuracy in position prediction, especially in the use of Received Signal Strength (RSS) fingerprints as a reference database. The variety of approaches to solving accuracy problems continues to improve as the need for indoor localization applications increases. Deep learning approaches as a solution for the use of fingerprints in indoor localization have been carried out in several studies with various novelties offered. Let’s introduce a combination of the use of LoRa technology's excellence with a deep learning method that uses all variations of measurement results of RSS values at each position as a natural feature of the indoor condition as a fingerprint. All of these features are used for training in-deep learning methods. It is DeepFi-LoRaIn which illustrates a new technique for using the fingerprint data of the LoRa device's RSS device on indoor localization using deep learning methods. This method is used to find out how accurate the model produced by the training process is to predict the position in a dynamic environment. The scenario used to evaluate the model is by giving interference to the RSS value received at each anchor node. The model produced through training was found to have good accuracy in predicting the position even in conditions of interference with several anchor nodes. Based on the test results, DeepFi-LoRaIn Technique can be a solution to cope with changing environmental conditions in indoor localization
Subject
General Physics and Astronomy,General Engineering
Reference34 articles.
1. Harris, N., Curry, J. (2018). Development and Range Testing of a LoRaWAN System in an Urban Environment. World Academy of Science, Engineering and Technology. International Journal of Electronics and Communication Engineering, 12 (1), 47–55. 5.
2. Nor, R. F. A. M., Zaman, F. H., Mubdi, S. (2017). Smart traffic light for congestion monitoring using LoRaWAN. 2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC), 132–137. doi: http://doi.org/10.1109/ICSGRC.2017.8070582
3. Mdhaffar, A., Chaari, T., Larbi, K., Jmaiel, M., Freisleben, B. (2017). IoT-based health monitoring via LoRaWAN. IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 519–524. doi: http://doi.org/10.1109/EUROCON.2017.8011165
4. Li, L., Ren, J., Zhu, Q. (2017). On the application of LoRa LPWAN technology in Sailing Monitoring System. 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS), 77–80. doi: http://doi.org/10.1109/WONS.2017.7888762
5. Ke, K.-H., Liang, Q.-W., Zeng, G.-J., Lin, J.-H., Lee, H.-C. (2017). A LoRa wireless mesh networking module for campus-scale monitoring. Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks. doi: https://doi.org/10.1145/3055031.3055034
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