Results 191 to 200 of about 42,493 (254)

RSSI-KNN: A RSSI Indoor Localization Approach with KNN

2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2023
Nowadays, with the rapid growth of wireless communication technique, Received Signal Strength Indicator (RSSI) is not only satisfied in measuring distance, but also be used in indoor location frequently.
Xiaoshan Zheng, Ruojin Cheng, Yiming Wang   +2 more
openaire   +2 more sources

RSSI-based location fingerprint method for RFID indoor positioning: a review

Nondestructive Testing and Evaluation, 2023
The RSSI-based location fingerprinting method is currently a hot and challenging area of research in indoor positioning algorithms, which uses the degree of signal attenuation during spatial propagation to build a database, match data and ultimately ...
Zhe Wei, Jialei Chen, Hai Tang, Huan Zhang   +3 more
semanticscholar   +1 more source

RSSI-Based Localization Schemes for Wireless Sensor Networks Using Outlier Detection

Journal of Sensor and Actuator Networks, 2021
The received signal strength indicator (RSSI) of RF signals is a cost-effective solution for distance estimation, which makes it a practical choice for localization schemes in wireless sensor networks (WSN).
Asis Nasipuri
exaly   +2 more sources

Smartphone-Based Indoor Localization via Network Learning With Fusion of FTM/RSSI Measurements

IEEE Networking Letters, 2023
This letter proposes a deep neural network (DNN)-based indoor localization approach that leverages WiFi Fine Timing Measurement (FTM) and Received Signal Strength Indicator (RSSI) as environment features to provide accurate location estimation.
Paulson Eberechukwu, Hyunwoo Park, C. Laoudias, S. Horsmanheimo, Sunwoo Kim   +4 more
semanticscholar   +1 more source

LTE RSSI Based Vehicular Localization System in Long Tunnel Environment

IEEE Transactions on Industrial Informatics, 2023
Current navigation systems rely heavily on global navigation satellite systems, which provide stable positioning results in open-sky environments but exhibit severe performance degradation in areas where the signal is compromised, such as dense urban ...
B. Shin, Jung Ho Lee, Chongwon Kim, S. Jeon, Taikjin Lee   +4 more
semanticscholar   +1 more source

mmWaves RSSI indoor network localization

2014 IEEE International Conference on Communications Workshops (ICC), 2014
Indoor positioning gained great interest in recent years. Several performance evaluations are available for consolidated systems, especially for ultra-wideband radios. Given the current success of mmWaves networks, in this paper, we investigate the performance of RSSI localization systems operating at mmWaves.
Vari M, CASSIOLI, DAJANA
openaire   +1 more source

Wireless RSSI fingerprinting localization

Signal Processing, 2017
Localization has attracted a lot of research effort in the last decade due to the explosion of location based service (LBS). In particular, wireless fingerprinting localization has received much attention due to its simplicity and compatibility with existing hardware.
Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Perez-Cruz   +3 more
openaire   +1 more source

IndoorRSSINet - Deep learning based 2D RSSI map prediction for indoor environments with application to wireless localization

International Conference on Communication Systems and Networks, 2023
We consider the problem of 2D RSSI prediction in an indoor environment. Indoor RSSI prediction plays a vital role in localization, wireless network topology planning, and scheduling.
N. Raj, V. B. S.
semanticscholar   +1 more source

RSSI localization method for mine underground based on RSSI hybrid filtering algorithm

2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), 2017
Aiming at the coal mine personnel positioning method based on wireless sensor network technology, contrasting with advantage of now-existing feasible methods, consulting with traditional trilateral positioning, this paper proposed weighted trilateral localization method based on RSSI ranging.
Liu Yi, Liang Tao, Sun Jun
openaire   +1 more source

RSSI-based Indoor Localization Using RSSI-with-Angle-based Localization Estimation Algorithm

International Journal of Sensor Networks and Data Communications, 2015
For the scenarios of indoors localization and tracking, the solutions generally need complex infrastructure because they would require either a grid of antennas, each having a well-known position (proximity based approach), or a sophisticated algorithm that uses scene fingerprint to estimate the location or the zone of an object by matching the online ...
Ambassa Joel Yves, Peng Hao
openaire   +1 more source