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CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 10 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...
AMC
2008
99views more  AMC 2008»
13 years 10 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ALENEX
2003
137views Algorithms» more  ALENEX 2003»
13 years 11 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
WS
2008
ACM
13 years 9 months ago
Metcalfe's law, Web 2.0, and the Semantic Web
: The power of the Web is enhanced through the network effect produced as resources link to each other with the value determined by Metcalfe's law. In Web 2.0 applications, mu...
James A. Hendler, Jennifer Golbeck
INFOCOM
2012
IEEE
12 years 7 days ago
Scaling laws for cognitive radio network with heterogeneous mobile secondary users
—We study the capacity and delay scaling laws for cognitive radio network (CRN) with static primary users and heterogeneous mobile secondary users coexisting in the unit planar a...
Yingzhe Li, Xinbing Wang, Xiaohua Tian, Xue Liu