Research Area:  Vehicular Ad Hoc Networks
Intelligent Transportation Systems have gained significant attention among Internet of Things applications due to its specific features and its high capability to promote the innovation of the automotive industries. As part of smart cities, smart mobility initiatives offer new opportunities for intelligent transportation systems to maximize the utilization of the time-sensitive data that are streaming out of different sensory transport resources to support newcasting instead of forecasting technique. As a result, efficient information dissemination has become the new production factor, notably in terms of mitigating traffic congestion, maximizing bandwidth utilization, and reducing transmission power consumption over the network. Cloud Computing and its counterparts have been established as relatively stable environments for proving a wide number of tackled solutions. However, the limitations of network bandwidth as well as the rapid expansion into the data transfer rate are still the bottlenecks of vehicular networks. The main contribution of this study is to improve Vehicular Ad hoc Network performance in real-time using a geographically distributed computing architecture based on fog technology. This architecture presents a set of novel techniques from different points of view. These novelties include, (i) a flexible registration methodology for improving the navigation process among mobile vehicles; (ii) a generic distributed mechanism to adjust the communication range and the network connectivity; and (iii) a new mathematical model to ensure transmission reliability through establishing powerful communication channels between the vehicular entities and fog layer. The effectiveness of the proposed architecture is evaluated using several performance metrics such as throughput, delay time, and jitter. The experimental results reveal that the worthiness of the proposed architecture to meet the quality of service requirements is more than other state-of-the-art techniques in the literature review.
Author(s) Name:  Zainab H. Ali, Mahmoud M. Badawy & Hesham A. Ali
Journal name:  Peer-to-Peer Networking and Applications
Publisher name:  Springer
Volume Information:  volume 13, pages 1539–1566 (2020)
Paper Link:   10.1007/s12083-020-00910-9