DocumentCode :
132068
Title :
An empirical path loss model for wireless sensor network deployment in a sand terrain environment
Author :
Alsayyari, Abdulaziz ; Kostanic, I. ; Otero, Carlos ; Almeer, Mohammed ; Rukieh, Kusay
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Inst. of Technol., Melbourne, FL, USA
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
218
Lastpage :
223
Abstract :
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 between these different environments demonstrates differences in empirical models´ parameters and, as a result, path loss predicted by these models. Furthermore, the comparison between path loss predicted by the proposed model and largely used theoretical models such as Free Space Path Loss (FSPL) and Two-Ray indicates the inaccuracy of these models in predicting path loss between wireless sensor nodes deployed in sand terrain environments.
Keywords :
losses; radiotelemetry; radiowave propagation; sand; wireless sensor networks; FSPL; RF measurement; RF propagation model; WSN; empirical path loss model; free space path loss; radiofrequency propagation model; sand terrain environment; two-ray path loss; wireless sensor network physical deployment; Loss measurement; Mathematical model; Predictive models; Propagation losses; Radio frequency; Wireless communication; Wireless sensor networks; Channel Modeling; Path Loss Models; Radio Frequency Propagation Models; Signal Propagation; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/WF-IoT.2014.6803162
Filename :
6803162
Link To Document :
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