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IPSN
2004
Springer
14 years 2 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
ICC
2007
IEEE
203views Communications» more  ICC 2007»
14 years 3 months ago
Distributed Data Aggregation Using Clustered Slepian-Wolf Coding in Wireless Sensor Networks
—Slepian-Wolf coding is a promising distributed source coding technique that can completely remove the data redundancy caused by the spatially correlated observations in wireless...
Pu Wang, Cheng Li, Jun Zheng
ICRA
2009
IEEE
94views Robotics» more  ICRA 2009»
14 years 3 months ago
Inferring a probability distribution function for the pose of a sensor network using a mobile robot
— In this paper we present an approach for localizing a sensor network augmented with a mobile robot which is capable of providing inter-sensor pose estimates through its odometr...
David Meger, Dimitri Marinakis, Ioannis M. Rekleit...
TRANSCI
2010
128views more  TRANSCI 2010»
13 years 7 months ago
An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications
To design a transportation sensor network, the decision-maker needs to determine what sensor investments should be made, as well as when, how, where and with what technologies. Th...
Xuesong Zhou, George F. List
PODS
2006
ACM
134views Database» more  PODS 2006»
14 years 8 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor