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Zone Sharing: A HotSpots Decomposition Scheme for DataCentric Storage in Sensor Networks

DocUID: 2005-013 Full Text: PDF

Author: Mohamed Aly, Nicholas Morsillo, Panos K. Chrysanthis, Kirk Pruhs

Abstract: In the resource over-constrained environment of sensor networks, techniques for storing data locally in sensor nodes have been proposed to support efficient processing of ad-hoc queries. These data-centric storage (DCS) techniques differ in the method of mapping events to sensors, but all of them fail to deal with storage hot-spots due to irregular sensors deployments, and(or) data distributions. In this paper, we present Zone Sharing (ZS), a novel distributed scheme for the decomposition of storage hot-spots. We apply ZS to the DIM scheme, which has been shown to be the best among all DCS schemes. ZS locally detects hot-spots and tries to evenly distribute their loads among the sensor nodes in the network. Simulations have shown the efficiency of ZS in decomposing small to moderate sized hot-spots without imposing an additional energy load to the network nodes.

Published In: In the Proceedings of the Second International Workshop on Data Management for Sensor Networks held in conjunction with 31st VLDB conference

ISBN: 1-59593-206-2

Pages: pp. 21-26

Year Published: 2005

Note: DOI:10.1145/1080885.1080890

Project: QSense Subject Area: Sensor Databases

Publication Type: Conference Paper

Sponsor: NSF ANI-0123705, NSF ITR ANI-0325353

Citation:Text Latex BibTex XML Mohamed Aly, Nicholas Morsillo, Panos K. Chrysanthis, and Kirk Pruhs. Zone Sharing: A HotSpots Decomposition Scheme for DataCentric Storage in Sensor Networks, In the Proceedings of the Second International Workshop on Data Management for Sensor Networks held in conjunction with 31st VLDB conference (DMSN'05), pp. 21-26, 1-59593-206-2, August 2005.(DOI:10.1145/1080885.1080890)