Abstract
Sensor networks are getting much more complex these days. The mixture of various low-cost sensors together with increasing computational power enables for whole new systems running a lot of different analysis and control algorithms concurrently. It is impossible to anticipate their composition and data flows a priori. Although the actual data flows are hardly predictable during design-time, we present a lightweight and self-organizing approach on how shared data stores are used to optimize the storage allocation of data during run-time. While mostly using the existing traffic to disseminate routing information, we show that our distributed algorithm significantly reduces query latencies by placing data according to the access-centric storage paradigm.
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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Grenz, C., Jänen, U., Winizuk, J., Hähner, J. (2015). Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks. In: Mitton, N., Kantarci, M., Gallais, A., Papavassiliou, S. (eds) Ad Hoc Networks. ADHOCNETS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 155. Springer, Cham. https://doi.org/10.1007/978-3-319-25067-0_13
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DOI: https://doi.org/10.1007/978-3-319-25067-0_13
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