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TMC
2008
127views more  TMC 2008»
13 years 7 months ago
Time and Energy Complexity of Distributed Computation of a Class of Functions in Wireless Sensor Networks
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing a...
Nilesh Khude, Anurag Kumar, Aditya Karnik
INFOCOM
2005
IEEE
14 years 1 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik
IPPS
1999
IEEE
13 years 12 months ago
Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms
Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully par...
Frank K. H. A. Dehne, David A. Hutchinson, Anil Ma...
GRAPHICSINTERFACE
2000
13 years 9 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
IWVF
2001
Springer
14 years 1 days ago
Mereology of Visual Form
Visual forms come in countless varieties, from the simplicity of a sphere, to the geometric complexity of a face, to the fractal complexity of a rugged coast. These varieties have ...
Donald D. Hoffman