Comparison of Lossless Data Compression Techniques
Athira Gopinath, M Ravisankar
Abstract
Athira Gopinath, M Ravisankar
Abstract
The transmission of humongous data from the monitoring field to the central unit for further processing is a highly challenging task for the hardware, especially when the communication bandwidth is limited. The data overflow in the single-board computer will lead to the loss of valuable data. Since the sampling frequency of our application is fixed and the bandwidth of the communication channel cannot be increased, the only way by which the data overflow and loss can be avoided is by using data compression techniques. Data compression minimizes the size of the data to be stored and communicated, by reducing the size of data file either by using lossless or lossy compression techniques. This research focuses on a comprehensive study of different lossless compression methods by applying data files to each compression method. To estimate the best method of compression for storage and communication based on comparing the compression ratio, compression rate, space-saving, and execution time of existing methods of lossless compression.
OpenAlex reports 55 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The transmission of humongous data from the monitoring field to the central unit for further processing is a highly challenging task for the hardware, especially when the communication bandwidth is limited. The data overflow in the single-board computer will lead to the loss of valuable data. Since the sampling frequency of our application is fixed and the bandwidth of the communication channel cannot be increased, the only way by which the data overflow and loss can be avoided is by using data compression techniques. Data compression minimizes the size of the data to be stored and communicated, by reducing the size of data file either by using lossless or lossy compression techniques. This research focuses on a comprehensive study of different lossless compression methods by applying data files to each compression method. To estimate the best method of compression for storage and communication based on comparing the compression ratio, compression rate, space-saving, and execution time of existing methods of lossless compression.
Key concepts: Lossy compression, Lossless compression, Computer science, Data compression, Data compression ratio, Compression ratio, Bandwidth (computing), Compression (physics)