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» A distributed minimum variance estimator for sensor networks
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CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 2 days ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
AROBOTS
2002
106views more  AROBOTS 2002»
13 years 7 months ago
Tracking Targets Using Multiple Robots: The Effect of Environment Occlusion
This paper addresses the problem of tracking multiple targets using a network of communicating robots and stationary sensors. We introduce a Region-based Approach which controls r...
Boyoon Jung, Gaurav S. Sukhatme
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
SIGMOD
2006
ACM
171views Database» more  SIGMOD 2006»
14 years 7 months ago
Communication-efficient distributed monitoring of thresholded counts
Monitoring is an issue of primary concern in current and next generation networked systems. For example, the objective of sensor networks is to monitor their surroundings for a va...
Ram Keralapura, Graham Cormode, Jeyashankher Ramam...
ICDCS
2010
IEEE
13 years 5 months ago
Safe and Stabilizing Distributed Cellular Flows
Advances in wireless vehicular networks present us with opportunities for developing new distributed traffic control algorithms that avoid phenomena such as abrupt phase-transition...
Taylor Johnson, Sayan Mitra, Karthik Manamcheri