A Framework to Simulate Bulk-data migration Using Vehicular Traffic

Abstract

Data explosion in Smart cities is facing an exponential increase. Not only the field of Computer Science and Information Technology, but all other fields such as Science, medicine, arts, engineering etc. perform data-acquisition for future business analysis and organization’s growth. Although there are many fields but the progress of smart cities seems to be the leading cause of data explosion. Nowadays, sensors and Internet of Things generate an amount of data which is far beyond our imaginations. With the emerging data there occurs a need to assess data dissemination techniques, such that the delivery of bigdata shall be within optimal time and least cost. Data transfer techniques include PLC, Wi- Fi, DSRC, Optical-fiber etc. which have their own merits but demerits are more. Some are expensive to purchase, while the others cost more in terms of delay and energy. Hence, a technique is required for big-data transfer which is affordable by all means. In our proposed framework, we have put forward a centralized system which provides data transfer using daily Road traffic. Vehicles act as data-carriers picking up data from the source, where data hops over intermediate data-spots by vehicles and finally is delivered to the destination. Our aim in this research is to prove that the data transfer by using Road traffic is efficient as compared to Internet in terms of delay and as well as energy. We propose a technique in which data transfer is availed by using already available resource i.e. vehicles, thus saving time, resources and money.