Abstract Internet of Things (IoT) systems are expected to generate a massive amount of data
that needs to be processed. Given the large scale and geo-distributed nature of such …

Emerging Internet of Things (IoT) applications require faster execution time and response
time to achieve optimal performance. However, most IoT devices have limited or no …

With the advent of the Internet of Things (IoT), novel critical applications have emerged that
leverage the edge/hub/cloud paradigm, which diverges from the conventional edge …

The prevalence of ubiquitous computing devices encouraged by the expanding technology
trend of the Internet of Things (IoT) demands a change in how these devices are used and …

Processing big data generated in large Internet of Things (IoT) networks is challenging
current techniques. To date, a lot of network clustering approaches have been proposed to …

Edge computing is proposed to remedy the Cloud-only processing architecture for Internet of
Things (IoT) because of the massive amounts of IoT data. The challenge is how to deploy …

Newly arising IoT-driven use cases often require low-latency anaiytics to derive time-
sensitive actions, where a centralized cloud approach is not applicable. An emerging …

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 …

In this article we propose a new paradigm of resource-efficient edge computing for the
emerging intelligent IoT applications such as flying ad hoc networks for precision agriculture …