A survey on vehicular cloud computing

M Whaiduzzaman, M Sookhak, A Gani… - Journal of Network and …, 2014 - Elsevier
Vehicular networking has become a significant research area due to its specific features and
applications such as standardization, efficient traffic management, road safety and …

A survey on deep learning for challenged networks: Applications and trends

K Bochie, MS Gilbert, L Gantert, MSM Barbosa… - Journal of Network and …, 2021 - Elsevier
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …

A hybrid Markov-based model for human mobility prediction

Y Qiao, Z Si, Y Zhang, FB Abdesslem, X Zhang, J Yang - Neurocomputing, 2018 - Elsevier
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

Toward vehicular cloud/fog communication: A survey on data dissemination in vehicular ad hoc networks using vehicular cloud/fog computing

N Gaouar, M Lehsaini - International Journal of Communication …, 2021 - Wiley Online Library
The digitization of objects has given birth to the concept of the Internet of Things (IoT) which
is revolutionizing traditional objects by replacing them with intelligent objects such as smart …

On the serviceability of mobile vehicular cloudlets in a large-scale urban environment

C Wang, Y Li, D Jin, S Chen - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
Recently, cloud computing technology has been utilized to make vehicles on roads smarter
and to offer better driving experience. Consequently, the concept of mobile vehicular …

Design of novel mobility and obstacle-aware algorithm for optimal MANET routing

PK Pattnaik, BK Panda, M Sain - IEEE Access, 2021 - ieeexplore.ieee.org
Existence obstacles in terrain area and the mobility of the nodes in the network are the vital
constrains that degrade the performance in Mobile Adhoc Network (MANET). To diminish …

An online learning collaborative method for traffic forecasting and routing optimization

Z Guo, Y Zhang, J Lv, Y Liu, Y Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent advances in technologies such as the Internet of Things (IoT) and Cyber-Physical
Systems (CPS) have provided promising opportunities to solve problems in urban traffic …

Energy-Efficient and Delay Sensitive Routing Paths Using Mobility Prediction in Mobile WSN: Mathematical Optimization, Markov Chains, and Deep Learning …

GA Montoya, C Lozano-Garzón, Y Donoso - IEEE Access, 2021 - ieeexplore.ieee.org
In Mobile Wireless Sensor Networks there could be scenarios where absolutely all network
nodes (including the base station) are mobile, becoming a very hard task to find a …

An adaptive energy-efficient area coverage algorithm for wireless sensor networks

JA Torkestani - Ad hoc networks, 2013 - Elsevier
The connected dominating set (CDS) concept has recently emerged as a promising
approach to the area coverage in wireless sensor network (WSN). However, the major …

Understanding autonomic network management: A look into the past, a solution for the future

MA Khan, S Peters, D Sahinel, FD Pozo-Pardo… - Computer …, 2018 - Elsevier
The evolution of mobile network technologies and their vertical integration, heterogeneity of
applications, and the advent of sophisticated end-user devices have continuously been …