With the development of the Internet of Things technology, the current amount of data
generated by the Internet of Things system is increasing, and these data are continuously …

Abstract The Internet of Vehicles (IoV) can obtain traffic information through a large number
of data collected by sensors. However, the lack of data, abnormal data, and other low-quality …

Compared with the traditional network tasks, the emerging Internet of Vehicles (IoV)
technology has higher requirements for network bandwidth and delay. However, due to the …

As a special MANET (mobile ad hoc network), VANET (vehicular ad-hoc network) has two
important properties: the network topology changes frequently, and communication links are …

During mobile edge computing, due to the movement of nodes and the exhaustion of node
energy, link failure occurs thus reducing the network lifetime in the mobile ad-hoc network …

It is known to all that mobile ad hoc network (MANET) is more vulnerable to all sorts of
malicious attacks which affects the reliability of data transmission because the network has …

In mobile edge computing (MEC), task offloading can solve the problem of resource
constraints on mobile devices effectively, but it is not always optimal to offload all the …

The basic fuzzy neural network algorithm has slow convergence and large amount of
calculation, so this paper designed a particle swarm optimization trained fuzzy neural …

Due to the limited computing resources and energy of IoT devices, complex computing tasks
are offloaded to sufficient computing servers, such as Cloud Center. However, offloading …

Path planning of intelligent driving vehicles in emergencies is a hot research issue, this
paper proposes a new method of the best path selection for the intelligent driving vehicles to …