Bandwidth and Storage Optimization for CubeSats Through Adaptive Delta Encoding  and Heatshrink Compression

SatheeshaPA,MaheshNeelagar,Vinaykumar Hittalamani

Bandwidth and Storage Optimization for CubeSats Through Adaptive Delta Encoding and Heatshrink Compression

Authors

SatheeshaPA,MaheshNeelagar,Vinaykumar Hittalamani

Keywords:

Abstract

CubeSats face inherent limitations in size and available resources, demanding highly efficient data systems.This project optimizes the Data Acquisition System (DAS) for CubeSats by applying a dual-stage method thatcombines Delta Encoding

References

J.Smith et al., "MiniaturizedSensorSystems for CubeSats,"IEEE Sensors Journal,2021,discussed lightweight andpower-efficient sensors tailored for CubeSat missions.

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Published

2025-12-10

How to Cite

SatheeshaPA,MaheshNeelagar,Vinaykumar Hittalamani. (2025). Bandwidth and Storage Optimization for CubeSats Through Adaptive Delta Encoding and Heatshrink Compression. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 318–326. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4350