The exponential growth of data generated by the Internet of Things presents significant
challenges for data communication, storage, and analytics. Consequently, organizations …

With the development and expansion of the Internet of Things, computing at the edge is
becoming increasingly important, especially for applications where real-time response is …

In the Satellite-Integrated Internet of Things (SIoT), typical multiaccess schemes, ie,
contention resolution diversity slotted ALOHA scheme (CRDSA), face with the obvious …

Exponential growth in data collection is creating significant challenges for data storage and
analytics latency. Approximate Query Processing (AQP) has long been touted as a solution …

Data compression algorithms typically rely on identifying repeated sequences of symbols
from the original data to provide a compact representation of the same information, while …