Location Fingerprinting With Bluetooth Low Energy Beacons
By Ramsey Faragher, Robert K. Harle. IEEE Journal on Selected Areas in Communications, 2015
845 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/189bb2c729422b18b03087437c03afd06f0ef346
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Mohsen Guizani
- Ala Al-Fuqaha
- M. Mohammadi
- James She
- Petros Spachos
- Pai Chet Ng
- Kang Eun Jeon
- Perm Soonsawad
In Electrical and Electronic Engineering
- Ala Al-Fuqaha
- M. Mohammadi
- James She
- Mohsen Guizani
- Petros Spachos
- Pai Chet Ng
- Kang Eun Jeon
- Perm Soonsawad
In Ocean Engineering
- James She
- Ala Al-Fuqaha
- Mohsen Guizani
- Petros Spachos
- Pai Chet Ng
- Kang Eun Jeon
- Perm Soonsawad
- M. Mohammadi
Citations in the corpus
- Evolution of Indoor Positioning Technologies: A Survey (2017, background): “As Bluetooth beacons compete with Wi-Fi, Faragher and Harle [59] provided a quantitative comparison with WiFi fingerprinting.”
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018, background): “1) While WiFi fingerprinting has been studied widely in the past decade for indoor positioning and the accuracy is in the range of 10 m, Bluetooth low energy (BLE) is in its infancy for indoor localization and has yielded more fine-grained results [13].”
- BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities (2018, methodology): “The feasibility of BLE beacon-based indoor localization systems is extensively investigated in [25], where Faragher and Harle discussed the accuracy that can be achieved with given deployment configurations and operation parameters, such as the deployment density, advertising interval, trans-”
- RSSI-Based Indoor Localization With the Internet of Things (2018, background): “With the recent emergence of BLE and beacons, it has becomemore feasible to place inexpensive beacons around an environment than it is to rearrange existing hardware and use that for localization [17], [18].”
- Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons (2016, methodology): “Related Work Current localization algorithms for BLE beacons can be divided into three classes: proximity [21–23], range-based [21,24–26] and FP [4,21,27,28].”