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SUTC
2010
IEEE
15 years 5 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...
IPSN
2004
Springer
16 years 1 days ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...
ICC
2008
IEEE
135views Communications» more  ICC 2008»
16 years 1 months ago
Using Soft-Line Recursive Response to Improve Query Aggregation in Wireless Sensor Networks
— In large Wireless Sensor Networks (WSNs), each hop might incur varying delays due to medium access contention, transmission and computation delays. Fast and efficient query re...
Xiaoming Lu, Matt Spear, Karl N. Levitt, Norman S....
AINA
2008
IEEE
16 years 1 months ago
PRODUCE: A Probability-Driven Unequal Clustering Mechanism for Wireless Sensor Networks
There has been proliferation of research on seeking for distributing the energy consumption among nodes in each cluster and between cluster heads to extend the network lifetime. H...
Jung-Hwan Kim, Sajjad Hussain Chauhdary, WenCheng ...
MOBIHOC
2001
ACM
16 years 6 months ago
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
Previously proposed sensor network data dissemination schemes require periodic low-rate flooding of data in order to allow recovery from failure. We consider constructing two kind...
Deepak Ganesan, Ramesh Govindan, Scott Shenker, De...