TY - JFULL AU - P. Saravanan and T. Arunkumar PY - 2014/1/ TI - Bee Optimized Fuzzy Geographical Routing Protocol for VANET T2 - International Journal of Computer and Information Engineering SP - 2221 EP - 2228 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/10000703 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 96, 2014 N2 - Vehicular Adhoc Network (VANET) is a new technology which aims to ensure intelligent inter-vehicle communications, seamless internet connectivity leading to improved road safety, essential alerts, and access to comfort and entertainment. VANET operations are hindered by mobile node’s (vehicles) uncertain mobility. Routing algorithms use metrics to evaluate which path is best for packets to travel. Metrics like path length (hop count), delay, reliability, bandwidth, and load determine optimal route. The proposed scheme exploits link quality, traffic density, and intersections as routing metrics to determine next hop. This study enhances Geographical Routing Protocol (GRP) using fuzzy controllers while rules are optimized with Bee Swarm Optimization (BSO). Simulations results are compared to conventional GRP. ER -