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

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).