Ad Hoc Networks. 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1–2, 2015, Proceedings

Research Article

Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks

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  • @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
Carsten Grenz1,*, Uwe Jänen1, Jonas Winizuk1, Jörg Hähner1
  • 1: University of Augsburg
*Contact email: carsten.grenz@informatik.uni-augsburg.de

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.