Paper Info
Title
Data-Aware, resource-aware, lossless compression for sensor networks
Abstract
Compressing sensor data benefits sensor network applications because compression saves both transmission energy and storage space. This paper presents a novel lossless compression algorithm for sensor networks that is both data-aware and resource-aware. The DARA algorithm provides high compression ratios and also has a small memory footprint and efficient execution well within the range of sensor nodes. It is demonstrated that data-awareness, that is exploiting the structure of sensor data, is an important contributor to compression performance. The practicality of the DARA algorithm is demonstrated by an application in which sensor nodes use a phone modem to transmit a daily digest of nine sensor data streams in a single SMS message.
Year
DOI
Venue
2013
10.1007/978-3-642-36672-7_6
EWSN
Keywords
Field
DocType
compression algorithm,sensor data stream,dara algorithm,lossless compression,sensor network application,sensor node,sensor data benefit,efficient execution,high compression ratio,sensor network,sensor data
Sensor node,Key distribution in wireless sensor networks,Computer science,Visual sensor network,Computer network,Brooks–Iyengar algorithm,Real-time computing,Mobile wireless sensor network,Data compression,Image compression,Lossless compression
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Rachel Cardell-Oliver127133.25
Stefan Böttcher221333.68
Christof Hübner321.39