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Vehicles generate a large amount of data from their internal sensors. Thisdata is not only useful for a vehicle's proper operation, but it provides carmanufacturers with the ability to optimize performance of individual vehiclesand companies with fleets of vehicles (e.g., trucks, taxis, tractors) tooptimize their operations to reduce fuel costs and plan repairs. This paperproposes algorithms to compress CAN bus data, specifically, packaged as MDF4files. In particular, we propose lightweight, online and configurablecompression algorithms that allow limited devices to choose the amount of RAMand Flash allocated to them. We show that our proposals can outperform LZW forthe same RAM footprint, and can even deliver comparable or better performanceto DEFLATE under the same RAM limitations.

Memory-aware Online Compression of CAN Bus Data for Future Vehicular Systems