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Radio Propagation in Industrial Wireless Sensor Network Environments: From Testbed to Simulation Evaluation

dc.contributor.authorZinonos, Zinon
dc.contributor.authorVassiliou, Vasos
dc.contributor.authorChristofides, Tasos C.
dc.date.accessioned2017-11-02T15:20:12Z
dc.date.available2017-11-02T15:20:12Z
dc.date.issued2012
dc.identifier.issn978-1-4503-1626-2
dc.identifier.urihttp://hdl.handle.net/11728/10227
dc.description.abstractIn recent years, sensor networks characteristics have led to incremental utilization in different types of applications. Several techniques have been proposed to evaluate the performance of WSNs; the two most popular being mathematical analysis and simulations. An important drawback of these techniques is that they provide evaluation results that usually are not similar to those of real deployments. One reason for this is the fact that both techniques introduce physical layer modeling assumptions, which do not usually corresponded to real-life environments. In this paper, we used measurements from an industrial environment to develop a new radio propagation model for use in simulators and mathematical tools. The proposed radio model was implemented in the COOJA simulator and validated against real-life results obtained from a testbed inside a running oil refinery, which were found not to conform to any legacy radio propagation model. The proposed model has been shown to successfully match the refinery testbed behavior.en_UK
dc.language.isoenen_UK
dc.publisherACMen_UK
dc.relation.ispartofseriesProceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks;Pages 125-132
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectRadio Propagationen_UK
dc.subjectMobility Managementen_UK
dc.subjectIndustrial testbeden_UK
dc.subjectSimulationen_UK
dc.subjectPerformance Evaluationen_UK
dc.titleRadio Propagation in Industrial Wireless Sensor Network Environments: From Testbed to Simulation Evaluationen_UK
dc.typeArticleen_UK
dc.doi10.1145/2387191.2387209en_UK


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