As an emerging technology, the industrial Internet of Things (IIoT) can promote the
development of industrial intelligence, improve production efficiency, and reduce …

With the widespread prevalence of smart devices, mobile crowdsensing (MCS) becomes a
new trend to encourage mobile nodes to participate in cooperative data collection in various …

The traditional healthcare is overwhelmed by the processing and storage of massive
medical data. The emergence and gradual maturation of Internet-of-Things (IoT) …

The Industrial Internet of Things (IIoT) has received significant attention from several leading
industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part …

Mobile crowdsensing (MCS) has heated up and has become a new paradigm of data
collection. In the process of the task allocation of MCS, users are often required to provide …

The Internet of Things (IoT) is penetrating many aspects of our daily life with the proliferation
of artificial intelligence applications. Federated learning (FL) has emerged as a promising …

With the advent of the Internet of things (IoT) era, federated learning plays an important role
in breaking through traditional data barriers and effectively realizing data privacy and …

We propose a novel context-aware task allocation framework for mobile crowdsensing in the
scenario of edge computing to enable the crowdsensing platform effectively and real-timely …

Local differential privacy (LDP) enables terminal participants to share their private data
safely while controlling the privacy disclosure at the source. In the majority of current works …

Providing appropriate monetary rewards is an efficient way for mobile crowdsensing to
motivate the participation of task participants. However, a monetary incentive mechanism is …