Empirical Path Loss Models for Wireless Sensor Network Deployment in Snowy Environments

dc.contributor.authorCheffena, Michael
dc.contributor.authorMohamed, Marshed
dc.date.accessioned2020-01-08T10:27:01Z
dc.date.available2020-01-08T10:27:01Z
dc.date.issued2017-09-11
dc.description.abstractIn this letter, practical sensor nodes are utilized to study the path loss effects of wireless sensor networks (WSNs) at 2.425 GHz in a ground covered by snow at different heights from the ground. The measurement results are compared with the ground reflection (two-ray) path loss model and the ray-tracing model showing significant difference. New empirical path loss models for different heights from the ground based on the log-distance path loss model are presented. The developed models are compared with the existing path loss models to demonstrate their accuracy between sensor nodes deployed in snowy environments. The experimental data as well as the developed path loss models can be utilized for efficient planning and deployments of WSNs in snowy environments. They can support applications including rescue and monitoring of snow avalanche, environmental surveillance, or monitoring winter sporting activities.en_US
dc.identifier.citationM. Cheffena and M. Mohamed, “Empirical path loss models for wireless sensor net-work deployment in snowy environments,”IEEE Antennas and Wireless PropagationLetters, vol. 16, pp. 2877–2880, 2017en_US
dc.identifier.doi10.1109/LAWP.2017.2751079
dc.identifier.issn1548-5757
dc.identifier.urihttp://hdl.handle.net/20.500.11810/5352
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesIEEE Antennas and Wireless Propagation Letters;16
dc.subjectLoss measurement , Wireless sensor networks , Snow , Antenna measurements , Propagation losses , Monitoring , Ray tracingen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCESen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleEmpirical Path Loss Models for Wireless Sensor Network Deployment in Snowy Environmentsen_US
dc.typeJournal Article, Peer Revieweden_US
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