Indoor intelligent fingerprint-based localization: Principles, approaches and challenges

X Zhu, W Qu, T Qiu, L Zhao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …

Robustness, security and privacy in location-based services for future IoT: A survey

L Chen, S Thombre, K Järvinen, ES Lohan… - Ieee …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) connects sensing devices to the Internet for the purpose of
exchanging information. Location information is one of the most crucial pieces of information …

Semisupervised deep reinforcement learning in support of IoT and smart city services

M Mohammadi, A Al-Fuqaha… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Smart services are an important element of the smart cities and the Internet of Things (IoT)
ecosystems where the intelligence behind the services is obtained and improved through …

Indoor positioning algorithm based on the improved RSSI distance model

G Li, E Geng, Z Ye, Y Xu, J Lin, Y Pang - Sensors, 2018 - mdpi.com
The Global Navigation Satellite System (GNSS) cannot achieve accurate positioning and
navigation in the indoor environment. Therefore, efficient indoor positioning technology has …

Long-term WiFi fingerprinting dataset for research on robust indoor positioning

GM Mendoza-Silva, P Richter, J Torres-Sospedra… - Data, 2018 - mdpi.com
WiFi fingerprinting, one of the most popular methods employed in indoor positioning,
currently faces two major problems: lack of robustness to short and long time signal changes …

A survey of magnetic-field-based indoor localization

G Ouyang, K Abed-Meraim - Electronics, 2022 - mdpi.com
Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …

Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G

SH Alsamhi, AV Shvetsov, A Hawbani… - Future Generation …, 2023 - Elsevier
With the expansion of intelligent services and applications powered by Artificial Intelligence
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …

Crowdsourcing and sensing for indoor localization in IoT: A review

B Lashkari, J Rezazadeh, R Farahbakhsh… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Among the emerging concepts in the context of IoT, crowdsourcing, and crowdsensing are
known as two critical building blocks on the intersection point of things and human-based …

A soft range limited K-nearest neighbors algorithm for indoor localization enhancement

MT Hoang, Y Zhu, B Yuen, T Reese… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper proposes a soft range limited K-nearest neighbors (SRL-KNNs) localization
fingerprinting algorithm. The conventional KNN determines the neighbors of a user by …

A federated learning framework for fingerprinting-based indoor localization in multibuilding and multifloor environments

B Gao, F Yang, N Cui, K **ong, Y Lu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The participatory nature of federated learning (FL) makes it attractive for fingerprinting-based
indoor localization in multibuilding and multifloor environments. A group of sensing clients …