Transmission Rate Allocation in Multisensor Target Tracking Over a Shared Network

In a multisensor target tracking application running on a shared network, at what bit rates should the sensors send their measurements to the tracking fusion center? Clearly, the sensors cannot use arbitrary rates in a shared network, and a standard network rate control algorithm may not provide rat...

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Bibliographic Details
Published in:IEEE transactions on cybernetics 2009-04, Vol.39 (2), p.348-362
Main Authors: Ranasingha, M.C., Murthi, M.N., Premaratne, K., Xingzhe Fan
Format: Article
Language:English
Subjects:
Bandwidth
Bit rate
Control algorithms
Control theory
Convex optimization
Cybernetics
data fusion
Delay estimation
Filtering
Kalman filtering (KF)
Kalman filters
network utility maximization (NUM)
networked signal processing
Networks
Quality of service
Resource management
Sensor fusion
Sensors
Signal processing algorithms
Studies
Target tracking
Tracking
Utilities
Utility functions
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Summary:In a multisensor target tracking application running on a shared network, at what bit rates should the sensors send their measurements to the tracking fusion center? Clearly, the sensors cannot use arbitrary rates in a shared network, and a standard network rate control algorithm may not provide rates amenable to effective target tracking. For Kalman filter-based multisensor target tracking, we derive a utility function that captures the tracking quality of service as a function of the sensor bit rates. We incorporate this utility function into a network rate resource allocation framework, deriving a distributed rate control algorithm for a shared network that is suitable for current best effort packet networks, such as the Internet. In simulation studies, the new rate control algorithm engenders significantly better tracking performance than a standard rate control method, while the ordinary data transfer flows continue to effectively operate while using their standard rate control methods.
ISSN:1083-4419
2168-2267
1941-0492
2168-2275
DOI:10.1109/TSMCB.2008.2005123