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A Compression Algorithm Design and Simulation for Processing Large Volumes of Data from Wireless Sensor Networks

by Priyanka Vangali, Xiaokun Yang
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 4
Year of Publication: 2017
Authors: Priyanka Vangali, Xiaokun Yang
10.5120/cae2017652650

Priyanka Vangali, Xiaokun Yang . A Compression Algorithm Design and Simulation for Processing Large Volumes of Data from Wireless Sensor Networks. Communications on Applied Electronics. 7, 4 ( Jul 2017), 1-5. DOI=10.5120/cae2017652650

@article{ 10.5120/cae2017652650,
author = { Priyanka Vangali, Xiaokun Yang },
title = { A Compression Algorithm Design and Simulation for Processing Large Volumes of Data from Wireless Sensor Networks },
journal = { Communications on Applied Electronics },
issue_date = { Jul 2017 },
volume = { 7 },
number = { 4 },
month = { Jul },
year = { 2017 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume7/number4/745-2017652650/ },
doi = { 10.5120/cae2017652650 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T20:01:24.974224+05:30
%A Priyanka Vangali
%A Xiaokun Yang
%T A Compression Algorithm Design and Simulation for Processing Large Volumes of Data from Wireless Sensor Networks
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 4
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As Internet of things (IoT) advances, the growth in data volume from wireless sensor networks (WSNs) is explosive and is likely to overwhelm traditional datacenters. Therefore this paper presents a field-programmable gate array (FPGA) design and simulation on a data compression algorithm as a case study. By collecting and compressing raw data from IoT network, the large amount of sensor data is dramatically reduced and translated into valuable information to the servers. Simulation results show that the compression ratio can reach 30.08% with a very low processing latency (20 ms for compressing 1 KB sensor data).

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Index Terms

Computer Science
Information Sciences

Keywords

Data compression Field-programmable gate array (FPGA) Internet of things (IoT) Wireless Sensor Networks (WSNs)

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