Multi-objective Optimization for Information Sharing in Vehicular Ad Hoc Networks

Satellites to car multimedia content delivery systems, such as KU Mobile, are a promising area for research and development. With vehicles becoming more computational and communicative, the demand for bringing multimedia and information technology services into des is raising. However, these systems suffer from significant signal fading and incomplete reception caused by obstacles along the road interrupting the mandatory line of sight between satellite and car while these two are communicating. Therefore, additional technologies need to be specifically designed to complete partially received information in such scenarios. In this paper we propose xChangeMobile, an inter-vehicular ad-hoc wireless network (VANET) content exchange system. It is composed by two novel communication protocols, VanetDFCN and ChunkXChange, designed specifically for this scenario. Finally, using multi-objective genetic algorithms, we optimized the main parameters of proposed protocols to achieve the best communication performances.