This paper is published in Volume-5, Issue-1, 2019
Area
IoT
Author
K. Mohana Ravali Chowdary
Co-authors
Siddhant verma, Vineeta Tiwari, Dr. M. R. Ebenezar Jebarani
Org/Univ
Centre for Development of Advanced Computing, Pune, Maharashtra, India
Pub. Date
31 January, 2019
Paper ID
V5I1-1226
Publisher
Keywords
Internet of Things (IoT), Data compression, LZW Algorithm

Citationsacebook

IEEE
K. Mohana Ravali Chowdary, Siddhant verma, Vineeta Tiwari, Dr. M. R. Ebenezar Jebarani. Edge computing by using LZW Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
K. Mohana Ravali Chowdary, Siddhant verma, Vineeta Tiwari, Dr. M. R. Ebenezar Jebarani (2019). Edge computing by using LZW Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
K. Mohana Ravali Chowdary, Siddhant verma, Vineeta Tiwari, Dr. M. R. Ebenezar Jebarani. "Edge computing by using LZW Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

Data compression is one of the enabling technologies for multimedia applications is used to decrease the number of bits required to store and transmit images without any quantifiable loss of information. The impact of using different lossless compression algorithms on the compression ratios and timings when processing various biometric sample data is investigated. The huge challenge in using biometric data is about the handling of enormous data. As this data is increasing day by day, it becomes difficult to store and transmit the data effectively and efficiently in less time. To solve this kind of problem, in this papers presents an Edge computing by Lempel–Ziv–Welch (LZW) Compression
Paper PDF