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ADHOC
2004
127views more  ADHOC 2004»
15 years 2 months ago
A distributed and adaptive signal processing approach to exploiting correlation in sensor networks
We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the topic o...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
224
Voted
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
16 years 4 months ago
Towards Efficient Processing of General-Purpose Joins in Sensor Networks
Abstract-- Join processing in wireless sensor networks is difficult: As the tuples can be arbitrarily distributed within the network, matching pairs of tuples is communication inte...
Erik Buchmann, Klemens Böhm, Mirco Stern
106
Voted
INFOCOM
2009
IEEE
15 years 9 months ago
Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition
Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...
Xianjin Zhu, Rik Sarkar, Jie Gao
128
Voted
WONS
2005
IEEE
15 years 8 months ago
Fast Handoff process in Micro Mobile MPLS protocol for Micro-Mobility Management in Next Generation Networks
The rapid growth of wireless networks and services, integrated with the next-generation mobile communication systems, has led to designing efficient handoff protocols to handle m...
Rami Langar, Gwendal Le Grand, Samir Tohmé
150
Voted
ISNN
2010
Springer
15 years 28 days ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He