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Distributed Index for Multi-dimensional Data in Sensor Networks

Abstract

In many sensor network applications, data or events are named by attributes. Many of these attributes have scalar values, so one natural way to query events of interest is to use a multi-dimensional range query. An example of such a range query is: ’¡Èlist all events whose temperature lies between 50 degree and 60 degree, and whose light levels lie between 10 and 15. Such queries are useful for correlating events occurring within the network represented by different attribute values. In this demo, we will demonstrate an implementation of a distributed index that scalably supports multi-dimensional range queries. Our distributed index for multi-dimensional data

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