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IPSN
2005
Springer
14 years 27 days ago
Statistical model of lossy links in wireless sensor networks
Abstract— Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and properties produced by w...
Alberto Cerpa, Jennifer L. Wong, Louane Kuang, Mio...
ICC
2008
IEEE
102views Communications» more  ICC 2008»
14 years 1 months ago
Geometric Random Linear Codes in Sensor Networks
—Wireless sensor networks consist of unreliable and energy-constrained sensors connecting to each other wirelessly. As measured data may be lost due to sensor failures, maintaini...
Yunfeng Lin, Ben Liang, Baochun Li
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
SIGMETRICS
2010
ACM
214views Hardware» more  SIGMETRICS 2010»
14 years 6 days ago
Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm
This paper addresses the problem of determining the node locations in ad-hoc sensor networks when only connectivity information is available. In previous work, we showed that the ...
Amin Karbasi, Sewoong Oh
DIALM
2008
ACM
179views Algorithms» more  DIALM 2008»
13 years 9 months ago
Distance graphs: from random geometric graphs to Bernoulli graphs and between
A random geometric graph G(n, r) is a graph resulting from placing n points uniformly at random on the unit area disk, and connecting two points iff their Euclidean distance is at ...
Chen Avin