Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …

Complementary to the fancy big data applications, networking for big data is an
indispensable supporting platform for these applications in practice. This emerging research …

Sparse Mobile Crowdsensing (MCS) has become a compelling approach to acquire and
infer urban-scale sensing data. However, participants risk their location privacy when …

The smart factory is a representative element resha** conventional computer-aided
industry to data-driven smart industry, while it is nontrivial to achieve cost effectiveness …

In intelligent transportation systems (ITS), incomplete traffic data due to sensor malfunctions
and communication faults, seriously restricts the related applications of ITS. Recovering …

One important way to extend the lifetime of wireless sensor networks is to deploy the
sensors in a dense manner. The redundancy among the sensed data demonstrates that it is …

Time-sensitive networks (TSNs) support not only traditional best-effort communications but
also deterministic communications, which send each packet at a deterministic time so that …

Sparse Mobile Crowdsensing (MCS) has become a compelling approach to acquire and
make inference on urban-scale sensing data. However, participants risk their location …

For wireless networks in the Internet of Things (IoT), cognitive radio (CR) is a promising way
to obtain the available spectrum for objects. Wide-band spectrum sensing plays an important …

Monitoring solutions using the Internet of Things (IoT) techniques, can continuously gather
sensory data, such as temperature and pressure, and provide abundant information for a …