An Effect of Big Data Technology with Artificial Bee Colony Optimization Based Routing In VANET
Quick development in provincial and urban population’s makes different sorts of issues like extended periods of time traffic-jams, contamination which makes the city and provincial life shaky and non-live capable. The idea of a smart provincial and city is acquainted with improve the nature of provincial and city life. Smart cities communities are being created to fulfill the requirement for the wellbeing of their clients and secure excursions over in the urban situation by proposing the keen versatility idea. At the same time, the Vehicular Ad-hoc Network (VANET) goes under the sort of versatile specially appointed system (MANET), wherever vehicles are treated as nodes in a system. The utilization of Big Data innovations to VANET expands significant comprehension from the colossal measure of operational data to redesign traffic the official's strategy like arranging, designing just as an activity. During the constant systems, the VANET produces colossal information, and the VANET characteristics are mapped to Big Data traits. Also, the Artificial Bee Colony (ABC) algorithm is utilized for routing in vehicular Network over Hadoop Map Reduce independent disseminated structure and over multi-nodes cluster with 2 to 5 nodes. The simulation results guarantee that the handling time of the algorithm is significant diminishes with an ascent in the nodes tally of the Hadoop framework.