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Utility-based bandwidth adaptation in mission-oriented wireless sensor networks

Utility-Based Bandwidth Adaptation in Mission-Oriented Wireless Sensor Networks SHARANYA ESWARAN, Telcordia Technologies ARCHAN MISRA, Singapore Management University FLAVIO BERGAMASCHI, IBM, U.K. THOMAS LA PORTA, Pennsylvania State University 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 ‚ows 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 de nition 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 ‚ow, using link-layer broadcasts to exploit the œwireless 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Sensor Networks (TOSN) Association for Computing Machinery

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