Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
Control System Design
Optimal resource allocation in multi-class networks with user-specified utility functions
Computer Networks: The International Journal of Computer and Telecommunications Networking
A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
Convex Optimization
Cross-layer optimization in TCP/IP networks
IEEE/ACM Transactions on Networking (TON)
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Wireless Communications
Overlay network resource allocation using a decentralized market-based approach
Future Generation Computer Systems
Overlay network resource allocation using a decentralized market-based approach
Future Generation Computer Systems
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We present a duality-based method for decentralized communication resource management in the context of networked tracking and surveillance systems. This method shares communication resources according to the joint utility provided by information of particular types. By formulating the problem as an optimization of the joint utility of information flow rates, the dual of the problem can be understood to provide prices for particular routes. Decentralized rate control is accomplished using primal-dual iterations in combination with communication of these route prices and marginal utility values. We build on previous work on the subject in a few important ways. First, we consider utility functions that are jointly dependent on flow rates, to properly account for geometric synergy that can occur in sensor fusion problems. Second, we do not require that the rate-update algorithms have explicit knowledge of utility functions. Instead, our update algorithms only require transmission of marginal utility values. We provide a proof of the convergence of the algorithm, and present simulation results to demonstrate its effectiveness.