The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

The rapid evolution of technology allows the healthcare sector to adopt intelligent, context-
aware, secure, and ubiquitous healthcare services. Together with the global trend of an …

The Internet of Things and multimedia devices generate a tremendous amount of data. The
transfer of this data to the cloud is a challenging problem because of the congestion at the …

Edge computing is a promising paradigm that enhances the capabilities of cloud computing.
In order to continue patronizing the computing services, it is essential to conserve a good …

Fog computing allows the implementation of information processes on the native net, mainly
because of its ability to process in real-time. On the other hand, the principles of Mist …

Currently, technology greatly benefits the area of healthcare. Modern computers can quickly
process a large volume of patient health records. Due to recent advances in the area of …

The rapid advancement in information and communication technology has revolutionized
military departments and their operations. This advancement also gave birth to the idea of …

Fog computing is a new paradigm of computing that extends cloud-computing operations to
the edges of the network. The fog-computing services provide location sensitivity, reduced …