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SNEE: a query processor for wireless sensor networks

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Abstract

A wireless sensor network (WSN) can be construed as an intelligent, large-scale device for observing and measuring properties of the physical world. In recent years, the database research community has championed the view that if we construe a WSN as a database (i.e., if a significant aspect of its intelligent behavior is that it can execute declaratively-expressed queries), then one can achieve a significant reduction in the cost of engineering the software that implements a data collection program for the WSN while still achieving, through query optimization, very favorable cost:benefit ratios. This paper describes a query processing framework for WSNs that meets many desiderata associated with the view of WSN as databases. The framework is presented in the form of compiler/optimizer, called SNEE, for a continuous declarative query language over sensed data streams, called SNEEql. SNEEql can be shown to meet the expressiveness requirements of a large class of applications. SNEE can be shown to generate effective and efficient query evaluation plans. More specifically, the paper describes the following contributions: (1) a user-level syntax and physical algebra for SNEEql, an expressive continuous query language over WSNs; (2) example concrete algorithms for physical algebraic operators defined in such a way that the task of deriving memory, time and energy analytical cost-estimation models (CEMs) for them becomes straightforward by reduction to a structural traversal of the pseudocode; (3) CEMs for the concrete algorithms alluded to; (4) an architecture for the optimization of SNEEql queries, called SNEE, building on well-established distributed query processing components where possible, but making enhancements or refinements where necessary to accommodate the WSN context; (5) algorithms that instantiate the components in the SNEE architecture, thereby supporting integrated query planning that includes routing, placement and timing; and (6) an empirical performance evaluation of the resulting framework.

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Authors and Affiliations

  1. School of Computer Science, University of Manchester, Oxford Road, Manchester, M13 9PL, UK

    Ixent Galpin, Christian Y. A. Brenninkmeijer, Alasdair J. G. Gray, Farhana Jabeen, Alvaro A. A. Fernandes & Norman W. Paton

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  1. Ixent Galpin
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Communicated by Erik Buchmann.

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Galpin, I., Brenninkmeijer, C.Y.A., Gray, A.J.G. et al. SNEE: a query processor for wireless sensor networks. Distrib Parallel Databases 29, 31–85 (2011). https://doi.org/10.1007/s10619-010-7074-3

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