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» Adaptive sampling for sensor networks
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WAW
2007
Springer
144views Algorithms» more  WAW 2007»
14 years 1 months ago
Approximating Betweenness Centrality
Betweenness is a centrality measure based on shortest paths, widely used in complex network analysis. It is computationally-expensive to exactly determine betweenness; currently th...
David A. Bader, Shiva Kintali, Kamesh Madduri, Mil...
IPCCC
2007
IEEE
14 years 2 months ago
Optimal Cluster Head Selection in the LEACH Architecture
LEACH (Low Energy Adaptive Clustering Hierarchy) [1] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. LEACH uses a TDMA ...
Haiming Yang, Biplab Sikdar
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 8 months ago
Adaptive Demodulation in Differentially Coherent Phase Systems: Design and Performance Analysis
Adaptive Demodulation (ADM) is a newly proposed rate-adaptive system which operates without requiring Channel State Information (CSI) at the transmitter (unlike adaptive modulatio...
J. David Brown, Jamshid Abouei, Konstantinos N. Pl...
ATAL
2010
Springer
13 years 9 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
CIDR
2009
181views Algorithms» more  CIDR 2009»
13 years 9 months ago
The Case for RodentStore: An Adaptive, Declarative Storage System
Recent excitement in the database community surrounding new applications--analytic, scientific, graph, geospatial, etc.--has led to an explosion in research on database storage sy...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...