The unmanned surface vehicles (USVs) have been regarded as a promising paradigm to
automatically perform emergency tasks in a dynamic maritime traffic environment. However …

With the increasing demands of big data applications in the Internet of Things (IoT), various
applications have emerged to provide mobile services for IoT devices. However, due to the …

The calculation of eigenvalues of a matrix is required by many algorithms. Specifically, it is
the key technique in subspace-based direction of arrival (DOA) estimation algorithms, eg …

Locations are usually necessary for task allocation in spatial crowdsourcing, which may put
individual privacy in jeopardy without proper protection. Although existing studies have well …

With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …

Data deduplication for edge-based mobile crowdsensing services removes duplicate data to
minimize storage space and enhance communication efficiency. However, secure data …

Edge computing is an emerging computing paradigm, which offers a great opportunity to
implement data mining-based services and applications for a large number of devices and …

Mobile edge caching has great advantages in alleviating video traffic pressure and reducing
transmission delay, which is considered as a hopeful solution to improve video resource …

With the ever-increasing demand for the content delivery services in autonomous vehicular
networks (AVNs), caching popular contents in the edge nodes in advance is expected to …

Vehicular networks expect to promote the road safety for moving vehicles and improve the
driving experience of drivers. In the vehicular networks, secure content delivery becomes …