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» On an Optimization Problem in Sensor Selection*
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GLOBECOM
2010
IEEE
13 years 5 months ago
Maximization of Data Gathering in Clustered Wireless Sensor Networks
In this paper, we investigate the maximization of the amount of gathered data in a clustered wireless sensor network (WSN). The amount of gathered data is maximized by (1) choosing...
Tianqi Wang, Wendi Rabiner Heinzelman, Alireza Sey...
AHSWN
2006
148views more  AHSWN 2006»
13 years 7 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...
ICC
2007
IEEE
203views Communications» more  ICC 2007»
14 years 1 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
TSMC
2010
13 years 2 months ago
Efficient Sensor Selection for Active Information Fusion
In our previous paper [1], we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a ce...
Yongmian Zhang, Qiang Ji
JMLR
2008
159views more  JMLR 2008»
13 years 7 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin