OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems
Nowadays, it is becoming increasingly important to understand the multiple configuration factors of BLE anchors in indoor location systems. This task becomes particularly crucial in the context of activity recognition in multi-occupancy smart environments. Knowing the impact of the configuration of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Graz University of Technology
2023-06-01
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| Series: | Journal of Universal Computer Science |
| Subjects: | |
| Online Access: | https://lib.jucs.org/article/96878/download/pdf/ |
| _version_ | 1797791645852237824 |
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| author | José L. López Ruiz Ángeles Verdejo Espinosa Alicia Montoro Lendínez Macarena Espinilla Estévez |
| author_facet | José L. López Ruiz Ángeles Verdejo Espinosa Alicia Montoro Lendínez Macarena Espinilla Estévez |
| author_sort | José L. López Ruiz |
| collection | DOAJ |
| description | Nowadays, it is becoming increasingly important to understand the multiple configuration factors of BLE anchors in indoor location systems. This task becomes particularly crucial in the context of activity recognition in multi-occupancy smart environments. Knowing the impact of the configuration of BLE anchors in an indoor location system allows us to distinguish the interactions performed by each inhabitant in a smart environment according to their proximity to each sensor. This paper proposes a new methodology, OBLEA, that determines the optimisation of Bluetooth Low Energy (BLE) anchors in indoor location systems, considering multiple BLE variables to increase flexibility and facilitate transferability to other environments. Concretely, we present a model based on a data-driven approach that considers configurations to obtain the best performing configuration with a minimum number of anchors. This methodology includes a flexible framework for the indoor space, the architecture to be deployed, which considers the RSSI value of the BLE anchors, and finally, optimisation and inference for indoor location. As a case study, OBLEA is applied to determine the location of ageing inhabitants in a nursing home in Alcaudete, Jaén (Spain). Results show the extracted knowledge related to the optimisation of BLE anchors involved in the case study. |
| first_indexed | 2024-03-13T02:21:46Z |
| format | Article |
| id | doaj.art-3384e43af5cc49e08b9c3930d5da68ed |
| institution | Directory Open Access Journal |
| issn | 0948-6968 |
| language | English |
| last_indexed | 2024-03-13T02:21:46Z |
| publishDate | 2023-06-01 |
| publisher | Graz University of Technology |
| record_format | Article |
| series | Journal of Universal Computer Science |
| spelling | doaj.art-3384e43af5cc49e08b9c3930d5da68ed2023-06-30T08:11:04ZengGraz University of TechnologyJournal of Universal Computer Science0948-69682023-06-0129662764610.3897/jucs.9687896878OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location SystemsJosé L. López Ruiz0Ángeles Verdejo Espinosa1Alicia Montoro Lendínez2Macarena Espinilla Estévez3University of JaénUniversity of JaénUniversity of JaénUniversity of JaénNowadays, it is becoming increasingly important to understand the multiple configuration factors of BLE anchors in indoor location systems. This task becomes particularly crucial in the context of activity recognition in multi-occupancy smart environments. Knowing the impact of the configuration of BLE anchors in an indoor location system allows us to distinguish the interactions performed by each inhabitant in a smart environment according to their proximity to each sensor. This paper proposes a new methodology, OBLEA, that determines the optimisation of Bluetooth Low Energy (BLE) anchors in indoor location systems, considering multiple BLE variables to increase flexibility and facilitate transferability to other environments. Concretely, we present a model based on a data-driven approach that considers configurations to obtain the best performing configuration with a minimum number of anchors. This methodology includes a flexible framework for the indoor space, the architecture to be deployed, which considers the RSSI value of the BLE anchors, and finally, optimisation and inference for indoor location. As a case study, OBLEA is applied to determine the location of ageing inhabitants in a nursing home in Alcaudete, Jaén (Spain). Results show the extracted knowledge related to the optimisation of BLE anchors involved in the case study.https://lib.jucs.org/article/96878/download/pdf/Indoor location systemBluetooth Low EnergyFog- |
| spellingShingle | José L. López Ruiz Ángeles Verdejo Espinosa Alicia Montoro Lendínez Macarena Espinilla Estévez OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems Journal of Universal Computer Science Indoor location system Bluetooth Low Energy Fog- |
| title | OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems |
| title_full | OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems |
| title_fullStr | OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems |
| title_full_unstemmed | OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems |
| title_short | OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems |
| title_sort | oblea a new methodology to optimise bluetooth low energy anchors in multi occupancy location systems |
| topic | Indoor location system Bluetooth Low Energy Fog- |
| url | https://lib.jucs.org/article/96878/download/pdf/ |
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