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» Learning from sensor network data
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EWSN
2004
Springer
16 years 2 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 21 days 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 3 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
15 years 9 months 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 6 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