Results 31 to 40 of about 17,110 (213)

Comparison between an RSSI- and an MCPD-Based BLE Indoor Localization System

open access: yesDe Computis, 2023
IPS is a crucial technology that enables medical staff and hospital management to accurately locate and track persons or assets inside medical buildings.
Silvano Cortesi   +2 more
semanticscholar   +1 more source

Recurrent Neural Networks for Accurate RSSI Indoor Localization [PDF]

open access: yesIEEE Internet of Things Journal, 2019
This article proposes recurrent neural networks (RNNs) for the WiFi fingerprinting indoor localization. Instead of locating a mobile user’s position one at a time as in the cases of conventional algorithms, our RNN solution aims at the trajectory ...
Minh Tu Hoang   +5 more
semanticscholar   +1 more source

From RSSI to CSI

open access: yesACM Computing Surveys, 2013
The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems.
YANG, Zheng, ZHOU, Zimu, LIU, Yunhao
openaire   +3 more sources

A Novel Localization Algorithm Based on RSSI and Multilateration for Indoor Environments

open access: yesElectronics, 2022
Indoor localization algorithms based on the received signal strength indicator (RSSI) in wireless sensor networks (WSNs) have higher localization accuracy than other range-free methods.
Jinze Du, C. Yuan, Min Yue, Tao Ma
semanticscholar   +1 more source

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

open access: yesItalian National Conference on Sensors, 2022
One of the major challenges for blind and visually impaired (BVI) people is traveling safely to cross intersections on foot. Many countries are now generating audible signals at crossings for visually impaired people to help with this problem.
Kiyoung Shin   +6 more
semanticscholar   +1 more source

A New Algorithm for Indoor RSSI Radio Map Reconstruction

open access: yesIEEE Access, 2018
This paper proposes an empirical model of RSSI radio map in order to improve the indoor positioning accuracy of Wi-Fi RSSI. First, the signal feature point in RSSI space is proposed based on the indoor RSSI map, which is similar to the geomorphic feature
Weixing Xue   +5 more
doaj   +1 more source

Rssi-Based Fingerprinting of Bluetooth Low Energy Devices

open access: yesProceedings of the 20th International Conference on Security and Cryptography, 2023
To prevent tracking, the Bluetooth Low Energy protocol integrates privacy mechanisms such as address randomization. However, as highlighted by previous researches address randomization is not a silver bullet and can be circumvented by exploiting other types of information disclosed by the protocol such as counters or timing.
Gagnon, Guillaume   +2 more
openaire   +2 more sources

Evaluating Smartphone Accuracy for RSSI Measurements [PDF]

open access: yesIEEE Transactions on Instrumentation and Measurement, 2021
Smartphones are today affordable devices, capable of embedding a large variety of sensors such as magnetometers or orientation sensors, but also the hardware needed to connect them to most wireless communication technologies such as Wi-Fi, Bluetooth, or cellular networks.
Boussad, Y.   +5 more
openaire   +3 more sources

Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization [PDF]

open access: yesIEEE Internet of Things Journal, 2022
In recent years, the use of WiFi fingerprints for indoor positioning has grown in popularity, largely due to the widespread availability of WiFi and the proliferation of mobile communication devices.
Mingxin Zhang   +3 more
semanticscholar   +1 more source

Reduction of RSSI variations for indoor position estimation in wireless sensor networks

open access: yesEngineering and Applied Science Research, 2018
In this paper, the reduction of RSSI (received signal strength indicator) variation for indoor position estimation in wireless sensor networks (WSNs) is studied through simulation. We demonstrate that using raw RSSI data (with high variation) to estimate
Apidet Booranawong   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy