Change search
ReferencesLink to record
Permanent link

Direct link
Using data compression for energy-efficient reprogramming of wireless sensor networks
Number of Authors: 1
2007 (English)Report (Other academic)
Abstract [en]

Software used in sensor networks to perform tasks such as sensing, network routing, and operating system services can be subject to changes or replacements during the long lifetimes of many sensor networks. The task of reprogramming the network nodes consumes a significant amount of energy and increases the network congestion because the software is sent over radio in an epidemic manner to all the nodes. In this thesis, I show that the use of data compression of dynamically linkable modules makes the reprogramming more energy-efficient and reduces the time needed for the software to propagate. The cost for using data compression is that the decompression algorithm must execute for a relatively long time, and that the software takes five to ten kilobytes to store on the sensor nodes.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 2007, 1. , 38 p.
SICS Technical Report, ISSN 1100-3154 ; 2007:13
Keyword [en]
wireless sensor networks, data compression, reprogramming, experimental evaluation, energy efficiency
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-14516OAI: diva2:1035805
Available from: 2016-10-13 Created: 2016-10-13

Open Access in DiVA

fulltext(305 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 305 kBChecksum SHA-512
Type fulltextMimetype application/pdf
fulltext(4619 kB)0 downloads
File information
File name FULLTEXT02.psFile size 4619 kBChecksum SHA-512
Type fulltextMimetype application/postscript

Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link