Frequency Scanning Using Software Defined Radio for Localised Range Estimation

Yusof, Kamaludin Mohamad; Woods, John; Fitz, Steve

doi:10.1109/sensorcomm.2009.37

Cited by 1 publication

(1 citation statement)

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“…This also indicates that the path loss increases as a function of distance. The variations in the path loss readings of the same distances is mainly caused by the reception of two waves by the receiver (i.e., a direct and ground reflected wave), which can either be constructive when they arrive in phase or destructive when they come out of phase [15]. The randomness caused by multipath fading may be captured using log-normal shadowing equation [10], which is given by where ( 0 ) is the path loss value at the reference distance ( 0 ) expressed in dB, is the path loss exponent, which represents the rate of the path loss values increase as a function of the log of distance, and is the normally distributed random variable with zero mean and σ standard deviation.…”

Section: Resultsmentioning

confidence: 99%

An empirical path loss model for Wireless Sensor Network deployment in a concrete surface environment

Alsayyari

Kostanic

Otero

2015

2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON)

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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 loss model. In addition, the presented RF measurements and empirical path loss model are compared with measurements and models obtained from long-grass and sparse-tree environments, which were presented in a previous work. The results from the comparison of such different environments show significant differences in path loss and empirical models' parameters. Furthermore, the comparison between the proposed model and largely used path loss models such as free space path loss (FSPL) and Two-Ray demonstrate the inaccuracy of these models in predicting path loss between wireless sensor nodes deployed in concrete surface environments.

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Section: Resultsmentioning

confidence: 99%