Vehicular Ad hoc Networks: A hybrid approach to data dissemination in exigency situations

Abstract

Vehicular Ad hoc Network (VANET) is a type of mobile ad hoc network based on short range communications among vehicles moving on roads and between moving vehicles and road side units. Endangerment situations occur when a vehicle met with an accident at accident prone areas. Due to problem of high mobility and dynamic topology the performance of messaging in VANET ceases. To have sustainability in cross-correlated situations the pooling data acquisition requires data collection from multiple sources. In this paper, the data collection is done using Sensors and radio frequency identification (RFID) tags. The raw data collected by the sensors is optimized using Ant-Colony optimization for selecting shortest path dynamically to crossover the danger zone. The data detected by RFID tags is optimized using Artificial Bee Colony algorithm to obtain the information already collected by neighboring nodes. The information collected by VANET nodes will be cross-verified by authenticating with the Web Server for preventing fake message transmission over the network. The multivariate traffic data is well-kept at Web Server for smooth transmission of emergency messages. The process of preserving multivariate data provides elegant solution even on the part of signal failures in global system for mobile communications.