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GLOBECOM
2007
IEEE
14 years 3 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li
JAIR
1998
195views more  JAIR 1998»
13 years 8 months ago
AntNet: Distributed Stigmergetic Control for Communications Networks
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Gianni Di Caro, Marco Dorigo
HOTOS
1999
IEEE
14 years 28 days ago
Conductor: A Framework for Distributed Adaptation
Abstract--End-to-end connectivity is growing increasingly diverse, with orders of magnitude differences in characteristics throughout the network. At the same time, most applicatio...
Mark Yarvis, Peter L. Reiher, Gerald J. Popek
NIPS
2003
13 years 10 months ago
Distributed Optimization in Adaptive Networks
We develop a protocol for optimizing dynamic behavior of a network of simple electronic components, such as a sensor network, an ad hoc network of mobile devices, or a network of ...
Ciamac Cyrus Moallemi, Benjamin Van Roy
ICDCSW
2003
IEEE
14 years 1 months ago
Tuples On The Air: A Middleware for Context-Aware Computing in Dynamic Networks
We present TOTA (“Tuples On The Air”), a novel middleware for supporting adaptive context-aware activities in dynamic network scenarios. The key idea in TOTA is to rely on spa...
Marco Mamei, Franco Zambonelli, Letizia Leonardi