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» Learning from sensor network data
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EWSN
2004
Springer
16 years 5 months ago
Structured Communication in Single Hop Sensor Networks
Abstract. We propose a model for communication in single-hop wireless sensor networks and define and evaluate the performance of a robust, energy balanced protocol for a powerful a...
Amol Bakshi, Viktor K. Prasanna
IEEECSA
2009
15 years 4 months ago
Multiratecast in Wireless Fault Tolerant Sensor and Actuator Networks
We study the multicast problem in wireless sensor networks, where the source can send data to a fixed number of destinations (actuators) at a different rate (multiratecast). A typi...
Xuehong Liu, Arnaud Casteigts, Nishith Goel, Amiya...
IJAR
2006
89views more  IJAR 2006»
15 years 6 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
LCN
2008
IEEE
16 years 20 days ago
Priority interrupts of Duty Cycled communications in wireless sensor networks
— FrameComm is a contention based, Duty Cycled, MAC protocol that ensures a message will be transmitted during the receiver’s listen phase by sending a packet, followed by a sh...
Tony O'Donovan, Jonathan P. Benson, Utz Roedig, Co...
AUSAI
2006
Springer
15 years 10 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb