With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Recent years have witnessed the fast proliferation of mobile devices (eg, smartphones and
wearable devices) in people's lives. In addition, these devices possess powerful …

Federated learning (FL) rests on the notion of training a global model in a decentralized
manner. Under this setting, mobile devices perform computations on their local data before …

With the fast-growing demand of location-based services in indoor environments, indoor
positioning based on fingerprinting has attracted significant interest due to its high accuracy …

With the increasing demand of location-based services, indoor localization based on
fingerprinting has become an increasingly important technique due to its high accuracy and …

Indoor localization is of great importance for a range of pervasive applications, attracting
many research efforts in the past decades. Most radio-based solutions require a process of …

In this paper, we study fingerprinting-based indoor localization in commodity 5-GHz WiFi
networks. We first theoretically and experimentally validate three hypotheses on the channel …

Wireless indoor positioning has been extensively studied for the past 2 decades and
continuously attracted growing research efforts in mobile computing context. As the …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Ubiquity of mobile devices with rich sensory capabilities has given rise to the mobile crowd-
sensing (MCS) concept, in which a central authority (the platform) and its participants …