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    Active rules for sensor databases

    Zoumboulakis, M. and Roussos, George and Poulovassilis, Alex (2004) Active rules for sensor databases. In: Labrinidis, A. and Madden, S. (eds.) DMSN 2004: Proceedings of the 1st Workshop on Data Management for Sensor Networks. ACM International Conference Proceeding Series 72. Association for Computing Machinery, pp. 98-103. ISBN 9781450377959.

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    Abstract

    Recent years have witnessed a rapidly growing interest in query processing in sensor and actuator networks. This is mainly due to the increased awareness of query processing as the most appropriate computational paradigm for a wide range of sensor network applications, such as environmental monitoring. In this paper we propose a second database technology, namely active rules, that provides a natural computational paradigm for sensor network applications which require reactive behavior, such as security management and rapid forest fire response. Like query processing, efficient and effective active rule execution mechanisms have to address several technical challenges including language design, data aggregation, data verification, robustness under topology changes, routing, power management and many more. Nonetheless, active rules change the context and the requirements of these issues and hence a new set of solutions is appropriate. To this end, we outline the implications of active rules for sensor networks and contrast these against query processing. We then proceed to discuss work in progress carried out in project Asene that aims to effectively address these issues. Finally, we introduce our architecture for a decentralized event broker based on the publish/subscribe paradigm and our early design of an ECA language for sensor networks.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 11 Oct 2021 16:29
    Last Modified: 11 Oct 2021 16:29
    URI: https://eprints.bbk.ac.uk/id/eprint/46263

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