Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
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 …
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
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 …
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
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 …
ecosystems where the intelligence behind the services is obtained and improved through …
Indoor positioning algorithm based on the improved RSSI distance model
The Global Navigation Satellite System (GNSS) cannot achieve accurate positioning and
navigation in the indoor environment. Therefore, efficient indoor positioning technology has …
navigation in the indoor environment. Therefore, efficient indoor positioning technology has …
Long-term WiFi fingerprinting dataset for research on robust indoor positioning
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 …
currently faces two major problems: lack of robustness to short and long time signal changes …
A survey of magnetic-field-based indoor localization
Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
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 …
(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
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 …
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
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 …
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
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 …
indoor localization in multibuilding and multifloor environments. A group of sensing clients …