With the rapid development of Internet-of-Things (IoT) and the explosive advance of deep
learning, there is an urgent need to enable deep learning inference on IoT devices in Mobile …

The edge computing paradigm enables mobile devices with limited memory and processing
power to execute delay-sensitive, compute-intensive, and bandwidth-intensive applications …

Several researchers have proposed secure authentication techniques for addressing
privacy and security concerns in the fifth-generation (5G)-enabled vehicle networks. To …

The edge computing paradigm is becoming increasingly commercialized due to the
widespread adoption of wireless communication technologies and the growing demand for …

Abstract Mobile Edge Computing (MEC) has arisen as a promising computing paradigm
consisting of three tiers: Smart Mobile Devices (SMDs), fog nodes, and the cloud. The MEC …

Vehicular edge computing (VEC) is an effective paradigm in Internet of Vehicles (IoV), which
allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for …

Available online Edge data centers are designed to meet the stringent QoE requirements of
delay-sensitive and computationally intensive services in Content Delivery Network (CDN) …

Vehicular Edge Computing and Networks (VECoNs) have gained popularity for its
enhanced Internet of Vehicles (IoV) capabilities. To satisfy the needs of delay-sensitive and …

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using
computational resources at the network's edge. Nevertheless, because of inadequate …

With the rapid development of Internet of vehicles (IoV) and the continuous emergence of
vehicle information applications, the demand for content in vehicle networking is growing at …