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Mobile targeting using customer trajectory patterns
Rapid improvements in the precision of mobile technologies now make it possible for
advertisers to go beyond real-time static location and contextual information on consumers …
advertisers to go beyond real-time static location and contextual information on consumers …
High quality participant recruitment in vehicle-based crowdsourcing using predictable mobility
The potential of crowdsourcing for complex problem solving has been revealed by
smartphones. Nowadays, vehicles have also been increasingly adopted as participants in …
smartphones. Nowadays, vehicles have also been increasingly adopted as participants in …
Crowdsourcing-based indoor map** using smartphones: A survey
Indoor map is a fundamental element of indoor location-based services (ILBS). However,
traditional indoor map** techniques are labor-intensive and time-consuming. The …
traditional indoor map** techniques are labor-intensive and time-consuming. The …
Challenges and opportunities in designing smart spaces
In the past decade, research in Internet of Things and related technologies such as
Ubiquitous Computing has fueled the development of Smart Spaces. Smart space does not …
Ubiquitous Computing has fueled the development of Smart Spaces. Smart space does not …
Cost-fair task allocation in mobile crowd sensing with probabilistic users
Mobile crowd sensing (MCS) is a new paradigm for urban-scale monitoring. This article
concentrates on the Cost-Fair Task Allocation (CFA) problem for the MCS scenario where …
concentrates on the Cost-Fair Task Allocation (CFA) problem for the MCS scenario where …
A survey on task and participant matching in mobile crowd sensing
Mobile crowd sensing is an innovative paradigm which leverages the crowd, ie, a large
group of people with their mobile devices, to sense various information in the physical world …
group of people with their mobile devices, to sense various information in the physical world …
Indoor floor plan construction through sensing data collected from smartphones
With the development of sensing technology, smartphones can provide various kinds of
data, including inertial sensing data, WiFi data, depth data, and images. These data make it …
data, including inertial sensing data, WiFi data, depth data, and images. These data make it …
TrackPuzzle: Efficient registration of unlabeled PDR trajectories for learning indoor route graph
W Li, Y Wang, Y Shao, G Hu, D Li - Future Generation Computer Systems, 2023 - Elsevier
This paper proposes to learn the graph of accessible indoor routes by crowd-sourcing
inertial sensor data from mobile phones. The inertial sensor data collected by each phone is …
inertial sensor data from mobile phones. The inertial sensor data collected by each phone is …
[HTML][HTML] A survey of crowdsourcing-based indoor map learning methods using smartphones
W Li, X Xu, Y Wang, D Li - Results in Control and Optimization, 2023 - Elsevier
Location-based services and applications have grown rapidly over the past decade. These
location-based services and applications usually use maps to display user locations …
location-based services and applications usually use maps to display user locations …
An unsupervised approach to infer quality of service for large-scale wireless networking
Inferring the quality of service experienced by wireless users is challenging, as network
monitoring does not capture the service perception for each user individually. In this paper …
monitoring does not capture the service perception for each user individually. In this paper …