Authors: D. Zeinalipour-Yazti, S. Neema, D. Gunopulos, V. Kalogeraki, W. Najjar

Title: Data Acquisition in Sensor Networks with Large Memories

Conference: NetDB Workshop, at the 21st International Conference on Data Engineering (ICDE)

Year: 2005

Abstract: Wireless Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are expected to generate vast amounts of temporal data that needs to be processed in a power-effective manner. To this date sensor nodes feature small amounts of memory which mostly limits their capabilities to queries that only refer to the current point in time. In this paper we initiate a study on the deployment of large memories at sensor nodes. Such an approach gives birth to an array of new {\em temporal} and {\em top-k} queries which have been extensively studied by the database community. Our discussion is in the context of the {\em RISE (RIverside SEnsor)} hardware platform, in which sensor nodes feature external flash card memories that provide them several Megabytes of storage.

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