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Volume 3 Supplement 1

Special Issue on the Future of Middleware (FOME'11)

Mission-oriented middleware for sensor-driven scientific systems

Journal of Internet Services and Applications volume 3, pages 133–139 (2012)Cite this article

Abstract

Coordinating the networks needed for modern scientific data collection and control presents a significant challenge: they are typically power- and resource-constrained, operating in noisy and hostile environments, and need to adapt their behaviour to match their operation to their sensed environment while maintaining the scientific integrity of their observations. In this paper, we explore several aspects of managing and coordinating sensor-driven systems. We draw some conclusions about how to design, structure, and implement programming and middleware abstractions for long-lived and adaptive sensor networks.

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Authors and Affiliations

  1. School of Computer Science, University of St Andrews, St Andrews, UK

    Alan Dearle & Simon Dobson

Authors
  1. Alan Dearle
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  2. Simon Dobson
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Corresponding author

Correspondence to Simon Dobson.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Dearle, A., Dobson, S. Mission-oriented middleware for sensor-driven scientific systems. J Internet Serv Appl 3, 133–139 (2012). https://doi.org/10.1007/s13174-011-0052-9

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  • DOI: https://doi.org/10.1007/s13174-011-0052-9

Keywords

  • Sensor networks
  • Middleware
  • Programming models