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» On an Optimization Problem in Sensor Selection*
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GLOBECOM
2010
IEEE
14 years 9 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»
14 years 11 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»
15 years 5 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
14 years 5 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»
14 years 11 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