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2004
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Approximately uniform random sampling in sensor networks

10 years 4 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates broadcast queries to all sensors and use in-network aggregation of responses to minimize messaging costs. In this work, we focus on uniform random sampling across nodes, which can serve both as an alternative building block for aggregation and as an integral component of many other useful randomized algorithms. Prior to our work, the best existing proposals for uniform random sampling of sensors involve contacting all nodes in the network. We propose a practical method which is only approximately uniform, but contacts a number of sensors proportional to the diameter of the network instead of its size. The approximation achieved is tunably close to exact uniform sampling, and only relies on well-known existing primitives, namely geographic routing, distributed computation of Voronoi regions and von Neumann’s re...
Boulat A. Bash, John W. Byers, Jeffrey Considine
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where DMSN
Authors Boulat A. Bash, John W. Byers, Jeffrey Considine
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