Title
Efficient reprogramming of wireless sensor networks using incremental updates
Abstract
Software reprogramming enables users to extend or correct functionality of a sensor network after deployment, preferably at a low cost. This paper investigates the improvement of energy efficiency and delay of reprogramming, at low resource cost. As enabling technologies data compression and incremental updates are used. Algorithms for both approaches are analyzed, as well as their combination, applied to resource-constrained devices. All algorithms are ported to the Contiki operating system, and profiled for different types of reprogramming. The presented results show that there is a clear trade-off between performance and resource requirements. Furthermore, the best reprogramming approach depends on the type of update. Experimentally, VCDIFF, or the combination of Lempel-Ziv-77/FastLZ for compression with BSDIFF for delta encoding, have been identified as the best possible options.
Year
DOI
Venue
2013
10.1109/PerComW.2013.6529563
Pervasive Computing and Communications Workshops
Keywords
Field
DocType
data compression,operating systems (computers),telecommunication computing,wireless sensor networks,BSDIFF,Contiki operating system,Lempel-Ziv-77-FastLZ combination,VCDIFF,compression,data compression,delta encoding,energy efficiency,incremental updates,reprogramming delay,resource-constrained devices,sensor network functionality,software reprogramming,wireless sensor networks
Key distribution in wireless sensor networks,Software deployment,Computer science,Efficient energy use,Computer network,Software,Porting,Data compression,Wireless sensor network,Delta encoding,Embedded system,Distributed computing
Conference
ISSN
ISBN
Citations 
2474-2503
978-1-4673-5076-1
6
PageRank 
References 
Authors
0.49
14
3
Name
Order
Citations
PageRank
Milosh Stolikj1243.38
Pieter J. L. Cuijpers26711.17
Johan J. Lukkien3667.53