Paper Info
Title
RAKE: A simple and efficient lossless compression algorithm for the Internet of Things.
Abstract
In this paper we propose a new lossless compression algorithm suitable for Internet of Things (IoT). The proposed algorithm, named RAKE, is based only on elementary counting operations and has low memory requirements, and therefore it can be easily implemented in low-cost and low-speed micro-controllers as those used in IoT devices. Despite its simplicity, simulation results show that, in the case of sparse sequences, the proposed algorithm outperforms well-known lossless compression algorithms such as rar, gzip and bzip2. Moreover, in the case of real-world data, RAKE achieves higher compression ratios as even compared to IoT-specific lossless compression algorithms.
Year
Venue
Field
2017
European Signal Processing Conference
Rake,Data compression ratio,Lossy compression,Computer science,Lempel–Ziv–Stac,Theoretical computer science,Compression ratio,Data compression,Computer engineering,Image compression,Lossless compression
DocType
ISSN
Citations 
Conference
2076-1465
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Giuseppe Campobello15411.19
Antonino Segreto242.44
Sarah Zanafi300.68
Salvatore Serrano4417.05