This survey paper compares existing IoT related datasets found in the literature with three
main objectives. The first one is to highlight the characteristics of these datasets such as the …

Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …

Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

Executing complex and time-sensitive operations has become difficult due to the increased
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …

To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Limited by battery and computing resources, the computing-intensive tasks generated by
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …

As the computing resources and the battery capacity of mobile devices are usually limited, it
is a feasible solution to offload the computation-intensive tasks generated by mobile devices …

New networking issues are presented by the increasing need for a wide variety of
applications, which has spurred the creation of a new internet of things (IoT) paradigm, such …

Low earth orbit (LEO) satellite edge computing can overcome communication difficulties in
harsh environments, which lack the support of terrestrial communication infrastructure. It is …

Due to the limited resources of Internet of Things (IoT) devices, the multimedia application
data generated by IoT devices can be offloaded to edge servers for processing. In this …