NDLI: Control-theoretic, mission-driven, optimization techniques for wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Misra, A. Eswaran, S. La Porta, T.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science and Engineering, Pennsylvania State University, USA (Eswaran, S.; La Porta, T.) \|\| Advanced Technology Solutions, Telcordia Technologies, USA (Misra, A.)
Abstract	Network Utility Maximization (NUM) techniques, which cast resource sharing problems as one of distributed utility maximization, have been investigated for a variety of optimization problems in wireless and wired networks. Our recent work has extended the NUM framework to consider the case of resource sharing by multiple competing missions in a military-centric wireless sensor network (WSN) environment. Our enhanced NUM-based protocols provide rapid and dynamic mission-based adaptation of tactical wireless networks to support the transport of sensor data streams with very small control overhead. In particular, we focus specifically on mechanisms that capture the joint nature of mission utilities and the presence of prioritized mission demands. We then introduce a new problem, of joint utility and network lifetime maximization, as a representative of a new class of multi-metric optimization problems, and provide early evidence that techniques from optimal control theory can be used to derive distributed adaptation protocols conforming to the basic NUM paradigm. We also enumerate and motivate a list of open cross-layer dynamic adaptation problems of direct relevance to military C4I operations.
Starting Page	1
Ending Page	8
File Size	2686334
Page Count	8
File Format	PDF
ISBN	9781424429127
DOI	10.1109/COMSNETS.2009.4808837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Magnetic sensors Optimal control Bandwidth Sensor phenomena and characterization Acoustic sensors Resource management Feeds Intelligent sensors Monitoring
Content Type	Text
Resource Type	Article

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