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

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dc.creator Cheffena, Michael
dc.creator Mohamed, Marshed
dc.date 2020-01-08T10:27:01Z
dc.date 2020-01-08T10:27:01Z
dc.date 2017-09-11
dc.date.accessioned 2021-05-03T13:17:01Z
dc.date.available 2021-05-03T13:17:01Z
dc.identifier M. 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, 2017
dc.identifier 1548-5757
dc.identifier http://hdl.handle.net/20.500.11810/5352
dc.identifier 10.1109/LAWP.2017.2751079
dc.identifier.uri http://hdl.handle.net/20.500.11810/5352
dc.description In 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.
dc.language en
dc.publisher IEEE
dc.relation IEEE Antennas and Wireless Propagation Letters;16
dc.subject Loss measurement , Wireless sensor networks , Snow , Antenna measurements , Propagation losses , Monitoring , Ray tracing
dc.subject Research Subject Categories::NATURAL SCIENCES
dc.subject Research Subject Categories::TECHNOLOGY
dc.title Empirical Path Loss Models for Wireless Sensor Network Deployment in Snowy Environments
dc.type Journal Article, Peer Reviewed


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