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Stateful Mobile Modules for Robust In-network Processing
BibTeX
@MISC{Student_statefulmobile,
author = {Moritz Strübe (phd Student and Rüdiger Kapitza and Klaus Stengel (master Student and Michael Daum (phd Student and Falko Dressler},
title = {Stateful Mobile Modules for Robust In-network Processing},
year = {}
}
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Abstract
Abstract—Most sensor-network applications are dominated by the acquisition of sensor values. Due to energy limitations and high energy costs of communication, in-network processing has been proposed as a means to reduce data transfers. As application demands may change over time and nodes run low on energy, get overloaded, or simply face debasing communication capabilities, runtime adaptation is required. In either case, it is valuable to be able to migrate computations between neighboring nodes without losing runtime state that might be costly or even impossible to recompute. We propose stateful mobile modules as a basic infrastructure building block to improve adaptiveness and robustness of innetwork processing applications. Stateful mobile modules are binary modules linked on the node itself. Even more importantly, they can be transparently migrated from one node to another, thereby keeping statically as well as dynamically allocated memory. This is achieved by an optimized linking process and an advanced programming support. I.
Keyphrases
stateful mobile module robust in-network processing allocated memory energy limitation communication capability sensor value in-network processing application demand sensor-network application data transfer runtime state runtime adaptation innetwork processing application high energy cost optimized linking process binary module advanced programming support basic infrastructure
