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This paper presents a methodology for evaluating the performance of wireless sensor network (WSN) protocols in different tree-obstructed propagation environments. To create this methodology, practical RF propagation models that include many of the substantial features of different tree-obstructed propagation environments are utilized, and radio energy models for different tree-obstructed propagation...
This paper presents a model for predicting radio frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in a dense tree environment. To create the model, data from a physical deployment are collected and an empirical path loss prediction model is derived from the actual measurements. Furthermore, the presented measurements and empirical path loss model are compared with measurements...
This paper presents a path loss model for predicting signal propagation of wireless sensor nodes deployed in concrete surface environments. To create the model, radio frequency (RF) measurements were collected through Wireless Sensor Network (WSN) deployment in such environment. From the actual measurements, the parameters of the log-normal shadowing model are fine-tuned to develop an accurate path...
This paper presents a model for predicting Radio Frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in an artificial turf environment. To create the model, data from a physical deployment are collected and an empirical path loss prediction model is derived from the actual measurements. Furthermore, the presented measurements and empirical path loss model are compared with measurements...
This paper presents a Radio Frequency (RF) propagation model to predict path loss between wireless sensor nodes deployed in a sand terrain environment. The model is derived from RF measurements of Wireless Sensor Network (WSN) physical deployment. The model is compared with models obtained from WSN deployments in other environments, such as ones characterized by long grass and sparse tree. The comparison...
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