Abstract
In Vehicular Cloud (VC), vehicles collect data from the surrounding environment and exchange this data among the vehicles and the cloud centers. To do that in an efficient way first we need to organize the vehicles into clusters, each one works as a VC, and every cluster is managed by the cluster head (broker). The vehicles are grouped in clusters with adaptive size based on their mobility and capabilities. This model is an approach that forms the clusters based on the vehicles capabilities and handles with different types of data according to its importance to select the best route. A hybrid model is proposed to deal with these differences; Long-Term Evolution (LTE) is used with IEEE 802.11P which forms the traditional wireless access for Vehicular Ad hoc Networks (VANETs). This merge gives the high data delivery, wide-range transmission, and low latency. However, using only LTE based VANET is not practical due to its high cost and the large number of occurrences in the base stations. In this paper, a new Vehicular Cloud (VC) model is proposed which provides data as a service based on Vehicular Cloud Computing (VCC). A new method is proposed for high data dissemination based on the data types. The model is classified into three modes: the urgent mode, the bulk mode, and the normal mode. In the urgent mode, Long-Term Evolution (LTE) is used to achieve a high delivery with minimum delay. In the bulk mode, the vehicle uses IEEE 802.11p and chooses two clusters to divide this huge data. In the normal mode, the model works as D-hops cluster based algorithm.
Highlights
In recent years, Vehicular Cloud Computing (VCC) has attracted the concern of researchers to deploy the Intelligent Transportation System (ITS)
An Improved Hybrid model in Vehicular Clouds based on Data Types (IHVCDT) is the unique model which checks the data type and according to this data it will decide which mode to operate
3) The Normal (Routine) Mode This mode operates when the data is small and not urgent such as advertisements, fuel stations locations, hotels, etc. This mode operates as an optimized D-Hops Clustering Vehicles (DHCV) [15], where the clusters are created based on the distance differences between the vehicles and after the cloud creation a mathematical optimization managed by the Cluster Head (CH) controls the transmissions from the Cluster Member (CM) to CH and from CH to base stations
Summary
Vehicular Cloud Computing (VCC) has attracted the concern of researchers to deploy the Intelligent Transportation System (ITS). As the rapid improvements on the communications, the Fourth Generation (4G) which is called Long-Term Evolution (LTE) is presented to support high data rates up to 300 Mb/s for downlinks, and up to 75 Mb/s for uplinks, with low delay of less than 5 ms, for up to 100 Km transmission range. These high benefits, LTE is not used alone in VANETs due to the high cost of communications between the vehicles among each other and between them and the base stations, take in mind the mobility of the vehicles and the high overload on the base station.
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