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Using data compression for energy-efficient reprogramming of wireless sensor networks

Tsiftes, Nicolas (2007) Using data compression for energy-efficient reprogramming of wireless sensor networks. [SICS Report]

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Abstract

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.

Item Type:SICS Report
Uncontrolled Keywords:wireless sensor networks, data compression, reprogramming, experimental evaluation, energy efficiency
ID Code:2714
Deposited By:Vicki Carleson
Deposited On:27 Feb 2008
Last Modified:18 Nov 2009 16:13

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