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ICASSP
2009
IEEE
14 years 2 months ago
Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...
Godwin Shen, Sunil K. Narang, Antonio Ortega
NEW2AN
2007
Springer
14 years 2 months ago
tinyLUNAR: One-Byte Multihop Communications Through Hybrid Routing in Wireless Sensor Networks
Abstract. In this paper we consider a problem of implementing a hybrid routing protocol for wireless sensor networks, which natively supports data-centric, geographic-based and add...
Evgeny Osipov
IAT
2010
IEEE
13 years 5 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
SENSYS
2003
ACM
14 years 1 months ago
Taming the underlying challenges of reliable multihop routing in sensor networks
The dynamic and lossy nature of wireless communication poses major challenges to reliable, self-organizing multihop networks. These non-ideal characteristics are more problematic ...
Alec Woo, Terence Tong, David E. Culler
ICML
2007
IEEE
14 years 8 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...