Research Article
Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks
@INPROCEEDINGS{10.1007/978-3-319-25067-0_13, author={Carsten Grenz and Uwe J\aa{}nen and Jonas Winizuk and J\o{}rg H\aa{}hner}, title={Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks}, proceedings={Ad Hoc Networks. 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1--2, 2015, Proceedings}, proceedings_a={ADHOCNETS}, year={2015}, month={9}, keywords={Distributed Algorithm In-Network Storage Routing}, doi={10.1007/978-3-319-25067-0_13} }- Carsten Grenz
Uwe Jänen
Jonas Winizuk
Jörg Hähner
Year: 2015
Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-25067-0_13
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.
