: In this paper, two improved lossless data compression plans are proposed based on Lempel-Ziv-Welch encoding (LZW) for wireless
sensor networks. The schemes pre-process numerical data in different ways of adjusting data characteristics. In to increase the compression
rate, the range of values is reduced by calculating the increment between the string sample and the baseline. From time LZW is generally
effective for textual data, but does not refer to numeric data, the step is replaced by English letters. And also, with an increasing amount of
textual data stored in compressed form, in effect getting information in a packed area has become a major concern. Being the ability to search
effectively is highly desirable for accessing randomly compressed data and is required in many applications. The degree of compression can also
be improved using a custom LZW algorithm.
To