Corrections to Bierstone's Algorithm for Generating Cliques
Journal of the ACM (JACM)
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Utility-based rate control in the Internet for elastic traffic
IEEE/ACM Transactions on Networking (TON)
Optimal Resource Allocation in Wireless Ad Hoc Networks: A Price-Based Approach
IEEE Transactions on Mobile Computing
Interference-aware fair rate control in wireless sensor networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
A Bidding Algorithm for Optimized Utility-Based Resource Allocation in Ad Hoc Networks
IEEE Transactions on Mobile Computing
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
The capacity of wireless networks
IEEE Transactions on Information Theory
Optimization-based congestion control for multicast communications
IEEE Communications Magazine
A scalable low-overhead rate control algorithm for multirate multicast sessions
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Joint congestion control, routing, and MAC for stability and fairness in wireless networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Control-theoretic utility maximization in multihop wireless networks under mission dynamics
IEEE/ACM Transactions on Networking (TON)
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This article develops a utility-based optimization framework for resource sharing by multiple competing missions in a mission-oriented wireless sensor network (WSN) environment. Prior work on network utility maximization (NUM) based optimization has focused on unicast flows with sender-based utilities in either wireline or wireless networks. In this work, we develop a generalized NUM model to consider three key new features observed in mission-centric WSN environments: i) the definition of the utility of an individual mission (receiver) as a joint function of data from multiple sensor sources; ii) the consumption of each sender's (sensor) data by multiple missions; and iii) the multicast-tree-based dissemination of each sensor's data flow, using link-layer broadcasts to exploit the “wireless broadcast advantage” in data forwarding. We show how a price-based, distributed protocol (WSN-NUM) can ensure optimal and proportionally fair rate allocation across multiple missions, without requiring any coordination among missions or sensors. We also discuss techniques to improve the speed of convergence of the protocol, which is essential in an environment as dynamic as the WSN. Further, we analyze the impact of various network and protocol parameters on the bandwidth utilization of the network, using a discrete-event simulation of a stationary wireless network. Finally, we corroborate our simulation-based performance results of the WSN-NUM protocol with an implementation of an 802.11b network.