Adaptive Sampling With Mobile WSN

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Adaptive Sampling With Mobile WSN

Show simple item record Sreenath, Koushil en_US 2007-08-23T01:56:05Z 2007-08-23T01:56:05Z 2007-08-23T01:56:05Z December 2005 en_US
dc.identifier.other DISS-1139 en_US
dc.description.abstract The spatiotemporally varying network topology of mobile sensor networks makes it very suitable for applications such as reconstruction of environmental fields through sampling at locations that maximally reduce the largest uncertainty in the field estimate. Mobile sensor networks comprise of multiple heterogeneous resources and a deadlock-free resource scheduling in the presence of shared and routing resources becomes necessary to schedule the most efficient (cost / energy / time) resource for a task. Location information is imperative in sensor networks for most applications for localized sensing where localizing the network adaptively with no additional hardware is important. Adaptive sampling approaches for spatially distributed static linear and Gaussian fields with mobile robotic sensors are formulated and experimentally validated. Resource scheduling algorithms for dispatching resources in a deadlock-free manner in systems with shared and routing resources are mathematically formulated and experimentally validated. Simultaneous and Adaptive localization algorithms for sensor network localization through simple geometric constraints are validated through simulations. en_US
dc.description.sponsorship Popa, Dan en_US
dc.language.iso EN en_US
dc.publisher Electrical Engineering en_US
dc.title Adaptive Sampling With Mobile WSN en_US
dc.type M.S.E.E. en_US
dc.contributor.committeeChair Popa, Dan en_US Electrical Engineering en_US Electrical Engineering en_US University of Texas at Arlington en_US masters en_US M.S.E.E. en_US
dc.identifier.externalLinkDescription Link to Research Profiles

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