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SUTC
2010
IEEE
13 years 4 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...
SENSYS
2004
ACM
13 years 11 months ago
Call and response: experiments in sampling the environment
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled ...
Maxim A. Batalin, Mohammad H. Rahimi, Yan Yu, Duo ...
MDM
2001
Springer
138views Communications» more  MDM 2001»
13 years 10 months ago
Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks
An system-level power management technique for massively distributed wireless microsensor networks is proposed. A power aware sensor node model is introduced which enables the embe...
Amit Sinha, Anantha Chandrakasan
GLOBECOM
2009
IEEE
14 years 12 days ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
EWSN
2010
Springer
14 years 14 days ago
Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks
Due to non-homogeneous spread of sunlight, sensing nodes typically have non-uniform energy profiles in rechargeable Wireless Sensor Networks (WSNs). An energy-aware work load dist...
Rajib Kumar Rana, Wen Hu, Chun Tung Chou