Comparison of Source Coding Techniques for the Vehicle to Vehicle Communication

TL;DR

This paper compares various source coding techniques for vehicle-to-vehicle communication, introducing new abbreviation- and probability-based methods that outperform traditional algorithms in compression efficiency.

Contribution

It proposes novel abbreviation- and probability-based source coding methods tailored for vehicle-to-vehicle communication, demonstrating their superior performance over existing techniques.

Findings

Probability-based coding achieves higher compression ratios.

Proposed methods reduce message transmission time.

Experimental results validate improved efficiency.

Abstract

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.