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» Estimation in sensor networks: a graph approach
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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 11 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
ICDCS
2008
IEEE
14 years 2 months ago
Sensor Node Localization Using Uncontrolled Events
Many event-driven localization methods have been proposed as low cost, energy efficient solutions for wireless senor networks. In order to eliminate the requirement of accurately...
Ziguo Zhong, Dan Wang, Tian He
PODC
2009
ACM
14 years 8 months ago
Coloring unstructured wireless multi-hop networks
We present a randomized coloring algorithm for the unstructured radio network model, a model comprising autonomous nodes, asynchronous wake-up, no collision detection and an unkno...
Johannes Schneider, Roger Wattenhofer
IPSN
2011
Springer
12 years 11 months ago
Exploration of path space using sensor network geometry
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the ‘path space’ can help many important routing p...
Ruirui Jiang, Xiaomeng Ban, Mayank Goswami, Wei Ze...
DCOSS
2006
Springer
13 years 11 months ago
Distance-Sensitive Information Brokerage in Sensor Networks
In a sensor network information from multiple nodes must usually be aggregated in order to accomplish a certain task. A natural way to view this information gathering is in terms o...
Stefan Funke, Leonidas J. Guibas, An Nguyen, Yusu ...