[HTML][HTML] Machine learning in wireless sensor networks for smart cities: a survey
Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
Toward robust crowdsourcing-based localization: A fingerprinting accuracy indicator enhanced wireless/magnetic/inertial integration approach
The next-generation Internet of Things (IoT) systems have an increasingly demand on
intelligent localization which can scale with big data without human perception. Thus …
intelligent localization which can scale with big data without human perception. Thus …
Cooperative localization in massive networks
Network localization is capable of providing accurate and ubiquitous position information for
numerous wireless applications. This paper studies the accuracy of cooperative network …
numerous wireless applications. This paper studies the accuracy of cooperative network …
An improved weighted K-nearest neighbor algorithm for indoor localization
The weighted K-nearest neighbor (WKNN) algorithm is the most commonly used algorithm
for indoor localization. Traditional WKNN algorithms adopt received signal strength (RSS) …
for indoor localization. Traditional WKNN algorithms adopt received signal strength (RSS) …
Device discovery in D2D communication: A survey
Device to Device (D2D) communication was first considered in out-band to manage energy
issues in the wireless sensor networks. The primary target was to secure information about …
issues in the wireless sensor networks. The primary target was to secure information about …
Location-Enabled IoT (LE-IoT): A survey of positioning techniques, error sources, and mitigation
The Internet of Things (IoT) has started to empower the future of many industrial and mass-
market applications. Localization techniques are becoming key to add location context to IoT …
market applications. Localization techniques are becoming key to add location context to IoT …
RIS-aided localization under position and orientation offsets in the near and far field
DR Emenonye, HS Dhillon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents a rigorous Bayesian analysis of the information in the signal (consisting
of both the line-of-sight (LOS) path and reflections from multiple reconfigurable intelligent …
of both the line-of-sight (LOS) path and reflections from multiple reconfigurable intelligent …
AIPS: An accurate indoor positioning system with fingerprint map adaptation
Y Tao, L Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
WiFi fingerprinting-based indoor positioning system is vulnerable to the dynamic
environment, which makes the positioning accuracy decrease and the fingerprint map …
environment, which makes the positioning accuracy decrease and the fingerprint map …
APs' virtual positions-based reference point clustering and physical distance-based weighting for indoor Wi-Fi positioning
This paper first proposes a new clustering algorithm for selection of reference points (RPs)
based on virtual positions of access points for indoor localization in area without linear …
based on virtual positions of access points for indoor localization in area without linear …
TILoc: Improving the robustness and accuracy for fingerprint-based indoor localization
H Li, Z Qian, C Tian, X Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In WLAN fingerprint-based indoor localization, signal noise in the measurement of received
signal strength indicator (RSSI) often results in matching a set of disperse reference points …
signal strength indicator (RSSI) often results in matching a set of disperse reference points …