Name
Abstract | ||
|---|---|---|
The fog paradigm has the potential to efficiently address the time constraints of real-time critical applications by providing cloud-like services closer to the Internet of Things (IoT) devices. In this context, an emerging application is a cluster of auto-driven vehicles that are networked and can process the requests of IoT devices attached to the vehicles. With the ability to collectively provide abundant computing power as well as communication and storage resources, the cluster of vehicles can be viewed as a pool of fog devices. In order to utilize such resources, we devise a mechanism that provides load-balancing among the vehicular devices despite their mobility. The proposed mechanism functions in two ways: clustering among mobile fog devices and capacity-based load-balancing among clusters. The clustering algorithm efficiently builds clusters, allowing the selection of a cluster head based on the fog mobility factor. In addition to reducing congestion in the network, the proposed capacity-based load-balancing algorithm efficiently balances the load within a cluster as well as among the clusters of vehicles. Simulations conducted on NS2 demonstrate the efficiency of the proposed scheme in terms of end-to-end delay and packet delivery ratio (PDR). |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICDIS50059.2020.00020 | 2020 3rd International Conference on Data Intelligence and Security (ICDIS) |
Keywords | DocType | ISBN |
Vehicular fog computing,Cloud computing,Vehicular ad hoc networks,Internet of Things,Capacity-based load-balancing,Clustering | Conference | 978-1-7281-9380-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Raza Hameed | 1 | 0 | 0.34 |
| Kashif Munir | 2 | 0 | 0.34 |
| Saif ul Islam | 3 | 0 | 0.34 |
| Ishfaq Ahmad | 4 | 2884 | 192.17 |