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SUTC
2010
IEEE
9 years 10 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
CCR
2004
168views more  CCR 2004»
9 years 11 months ago
Coping with irregular spatio-temporal sampling in sensor networks
Wireless sensor networks have attracted attention from a diverse set of researchers, due to the unique combination of distributed, resource and data processing constraints. Howeve...
Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang, De...
CCR
2010
203views more  CCR 2010»
9 years 12 months ago
Minimizing energy consumptions in wireless sensor networks via two-modal transmission
We present a sophisticated framework to systematically explore the temporal correlation in environmental monitoring wireless sensor networks. The presented framework optimizes los...
Yao Liang, Wei Peng
GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
10 years 4 months ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
MOBILWARE
2009
ACM
10 years 6 months ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
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