Transmission rate allocation in multisensor target tracking over a shared network

M. Chamara Ranasingha, Manohar N. Murthi, Kamal Premaratne, Xingzhe Fan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)348-362
Number of pages15
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Issue number2
StatePublished - 2009


  • Convex optimization
  • Data fusion
  • Kalman filtering (KF)
  • Network utility maximization (NUM)
  • Networked signal processing
  • Target tracking

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Software


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