  Autonomous driving is gaining its importance due to the advancements in
technology. With the intention of safety during human driving and with the
longer-term aim to act as a communication enabler for autonomous driving,
vehicle to vehicle communication is gaining its importance. In this paper, we
discuss and compare various source coding techniques that can be used for
vehicle to vehicle communication. We propose abbreviation-based and
probability-based source coding methods for the vehicle to vehicle
communication. We compare the proposed application-specific source coding
methods with other techniques like Huffman, Arithmetic, and Lempel-Ziv-Welch
coding. Experimental results show that the proposed probability-based source
coding has better values of the compression ratio to the time required for all
the messages considered.
