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Dynamic Push And Pull Strategy Based On Data Interpolation For Web Sensor Networks

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Dynamic Push And Pull Strategy Based On Data Interpolation For Web Sensor Networks

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dc.contributor.author Mohan, Rohita en_US
dc.date.accessioned 2007-09-17T17:07:34Z
dc.date.available 2007-09-17T17:07:34Z
dc.date.issued 2007-09-17T17:07:34Z
dc.date.submitted August 2007 en_US
dc.identifier.other DISS-1828 en_US
dc.identifier.uri http://hdl.handle.net/10106/616
dc.description.abstract Sensor Web, a new trend has been developed recently to effectively network large scale deployed heterogeneous sensors with Internet to make sensor data discoverable, accessible and controllable via World Wide Web. Since sensor nodes are highly resource constrained, continuous back hauling of a large amount of data is not feasible. In this paper, we propose a dynamic push/pull service architecture where sensory quality is dynamically monitored and controlled. The architecture is implemented in a web proxy residing at the gateway of the network. As data is being pushed continuously from the network for effective sketching of the sensing field, interpolation techniques are employed to further render the details. Due to varying user requirements and dynamics of the sensing field, pushed data only may lead to low quality of the interpolated data. In this case, the system will dynamically pull data from the sensing field based on the requirements of the interpolation algorithms for desired confidence. Also, continuous demands of data pulling will eventually be converted to pushing services in order to reduce system overhead. The overall result is an architecture where push and pull services are dynamically monitored in order to reduce the overall system energy while satisfying user's demand for sensory data quality. Simulation of a web proxy has been conducted to continuously regulate the push and pull rates of temperature data based on Spatial Point to Point Interpolation algorithm, which has been proved appropriate for GIS applications. From our simulation results, the optimal degree of push and pull rates is determined to maintain high quality of sensor data delivered to the users while reducing overall system energy but it can also be seen that with an increase in the accuracy of the interpolated data, there is a tradeoff in the energy consumption level of sensor nodes. en_US
dc.description.sponsorship Liu, Yonghe en_US
dc.language.iso EN en_US
dc.publisher Computer Science & Engineering en_US
dc.title Dynamic Push And Pull Strategy Based On Data Interpolation For Web Sensor Networks en_US
dc.type M.S. en_US
dc.contributor.committeeChair Liu, Yonghe en_US
dc.degree.department Computer Science & Engineering en_US
dc.degree.discipline Computer Science & Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=199
dc.identifier.externalLinkDescription Link to Research Profiles

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