Show simple item record

dc.contributor.authorBash, Boulat A.en_US
dc.contributor.authorByers, John W.en_US
dc.contributor.authorConsidine, Jeffreyen_US
dc.date.accessioned2011-10-20T04:19:20Z
dc.date.available2011-10-20T04:19:20Z
dc.date.issued2004-07-19
dc.identifier.urihttps://hdl.handle.net/2144/1557
dc.description.abstractRecent 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 rejection method. Ultimately, our sampling algorithm has the same worst-case asymptotic cost as routing a point-to-point message, and thus it is asymptotically optimal among request/reply-based sampling methods. We provide experimental results demonstrating the effectiveness of our algorithm on both synthetic and real sensor topologies.en_US
dc.description.sponsorshipNSF (ANI-9986397, ANI-0093296, ANI-0205294, EIA-0202067)en_US
dc.language.isoen_US
dc.publisherBoston University Computer Science Departmenten_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2004-031
dc.titleApproximately Uniform Random Sampling in Sensor Networksen_US
dc.typeTechnical Reporten_US


This item appears in the following Collection(s)

Show simple item record