A novel cluster-based location routing algorithm for inter-vehicular communication

We present a comparison of routing strategies for exchanging information between vehicles. There are two main aspects that are of interest in this work: the comparison between routing strategies (position-based and non-position-based) in highly mobile environments and the improvement of scalability using cluster-based algorithms. We have evaluated the performance of two reactive (non-position-based) routing algorithms, DSR and AODV, and two position-based approaches, LORA and CBLR. We have simulated the mobility of the vehicles on a motorway using a microscopic traffic model developed in OPNET. A scenario was evaluated (three lanes per direction) in terms of average route discovery (RD) time, end-to-end delay (EED), and delivery ratio. Results show that clustering improves scalability when the number of nodes increases and the nature of location information of LORA and CBLR improves the results of AODV and DSR in terms of EED and delivery ratio.