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IPSN
2004
Springer
14 years 4 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
JDA
2008
100views more  JDA 2008»
13 years 11 months ago
Efficient sampling of random permutations
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Jens Gustedt
SAC
2008
ACM
13 years 9 months ago
Data sharing vs. message passing: synergy or incompatibility?: an implementation-driven case study
One reasonable categorization of coordination models is into data sharing or message passing, based on whether the information necessary to coordination is persistently stored and...
Matteo Ceriotti, Amy L. Murphy, Gian Pietro Picco
WIMOB
2008
IEEE
14 years 5 months ago
Rate Allocation with Lifetime Maximization and Fairness for Data Aggregation in Sensor Networks
—We consider the rate allocation problem for data aggregation in wireless sensor networks with two objectives: 1) maximizing the lifetime of a local aggregation cluster and, 2) a...
Shouwen Lai, Binoy Ravindran, Hyeonjoong Cho
CCGRID
2003
IEEE
14 years 4 months ago
Evaluation of the inter-cluster data transfer on Grid environment
High-performance peer-to-peer transfer between clusters will be fundamental technology base for various Grid middleware, such as large-scale data transfer in DataGrid settings, or...
Shoji Ogura, Satoshi Matsuoka, Hidemoto Nakada