Bluetooth positioning using RSSI and triangulation methods

By Yapeng Wang, Xu Yang, Yutian Zhao, Yue Liu, Laurie G. Cuthbert. Consumer Communications and Networking Conference, 2013

320 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/48db40abd81dae6e298d3dfd3d344edafd882e12

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Salil S. Kanhere
4. Sanjay Kumar Jha
5. Nadeem Ahmed

In Electrical and Electronic Engineering

1. Ala Al-Fuqaha
2. M. Mohammadi
3. Aruna Prasad Seneviratne
4. Mohsen Guizani
5. Sushmita Ruj
6. Salil S. Kanhere
7. Helge Janicke
8. Sanjay Kumar Jha

In Signal Processing

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Peter Druschel
4. Helge Janicke
5. M. Mohammadi

Citations in the corpus

• Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018, methodology): “[29] reported their experimental indoor positioning results based on BLE RSS readings.”
• A Survey of COVID-19 Contact Tracing Apps (2020, background): “istening for advertisements from tracing apps. These nodes can send the captured BLE messages to a central tracking server for further processing. The tracking server can now use simple triangulation [29] and timestamps to estimate the location of each device. This enables tracking, even recording h”
• Listening to bluetooth beacons for epidemic risk mitigation (2021, background): “If required, one may estimate some factors such as distance more precisely using triangulation among multiple beacons per location [40].”