Networked and Embedded Systems Laboratory

Tryear

Trmonth

Trnumber

Title

Abstract

Wireless ad hoc sensor networks (WASNs) are in need
of the study of useful applications that will help the researchers
view them as distributed physically coupled systems, a collective
that estimates the physical environment, and not just energylimited
ad hoc networks. We develop this perspective using a
large and interesting class of WASN applications called
aggregation applications. In particular, we consider the
challenging periodic aggregation problem where the WASN
provides the user with periodic estimates of the environment, as
opposed to simpler and previously studied snapshot aggregation
problems. In periodic aggregation our approach allows the
spatial-temporal correlation among values sensed at the various
nodes to be exploited towards energy-efficient estimation of the
aggregated value of interest. Our approach also creates a system
level energy vs. accuracy knob whereby the more the estimation
error that the user can tolerate, the less is the energy consumed.
We present a distributed estimation algorithm that can be
applied to explore the energy-accuracy subspace for a sub-class
of periodic aggregation problems, and present extensive
simulation results that validate our approach. The resulting
algorithm, apart from being more flexible in the energy-accuracy
subspace and more robust, can also bring considerable energy
savings for a typical accuracy requirement (five -fold decrease in
energy consumption for 5% estimation error) compared to
repeated snapshot aggregations.

Filename

File

Urlpdfpaper

Urlsrcpaper

Urlpdfpresentation

Urlsrcpresentation

Urlavmedia

Urldoi

Urlpublisher

Urlgooglescholar

Urlciteseer

Pubin

Pubvol

Pubnum

Pubnum end

Pubpagefirst

Pubpagelast

Pubpagecount

Pubdate

Pubdate end

Pubplace

Publisher

Ispublic

Islabdocument

Miscattributes

Document category

Main research area

Editing document