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A Standard Ray Tracing Technique for Predicting Signal Strength of Wireless Sensor Network in Smart Building

By Hany M. El-Maghrabi
Progress In Electromagnetics Research Letters, Vol. 105, 79-84, 2022


In this paper, a standard ray tracing model based on Geometrical Optics (GO) is proposed for predicting the signal strength of Wireless Sensor Network (WSN), ZigBee nodes, in an indoor environment. The signal strength is calculated analytically. The results are compared with numerical analysis implemented in FEKO computational electromagnetic software, and agreement is demonstrated. Also, the model is verified by a simple measurement campaign in a straight corridor section of commercial building, and results agreement is obtained. The results show that the proposed technique is capable of predicting the signal strength of WSN sensors in a corridor section of indoor environment with good accuracy, fast calculation time, and low computational resources and complexity. The proposed analytical model and measurement dataset can help WSN designers select the best locations of ZigBee nodes in a straight corridor section with good signal quality.


Hany M. El-Maghrabi, "A Standard Ray Tracing Technique for Predicting Signal Strength of Wireless Sensor Network in Smart Building," Progress In Electromagnetics Research Letters, Vol. 105, 79-84, 2022.


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