Transmission opportunity and capacity analysis for cellular based clustered VANET

Abstract

In the research of vehicular Ad Hoc network (VANET), integrated VANET and LTE heterogeneous network is a frontier topic as it meets the needs of data transmission as well as Internet access, where the value of cellular based clustering algorithm is prominent. In this paper, we analyze transmission opportunity and capacity in cellular based clustered VANET with stochastic geometry tools. Vehicular mobility pattern in this paper is Car Following Model and clustering of cars is managed by eNodeB along a linear road under the Lowest-ID algorithm. With three scenarios built to make a detailed research and IEEE 802.11p applied in data packets transmission, theoretical analysis and simulation results show that introduction of clustering algorithm lowers average transmission opportunity and capacity upper bound in the network. A suggested mean cluster size is proposed as a reference in the end of this paper with which expected transmission opportunity and capacity attain their maximum when employing clustering algorithms.