Title: An indoor path loss model for wireless sensor networks

Authors: Mohammad Abdel-Rahim; Mohamed Hadi Habaebi; Jalel Chebil; Aisha Hassan A. Hashim; Musse Mohamud Ahmed; Md Rafiqul Islam; Alhareth Zyoud

Addresses: Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak 53100, Kuala Lumpur, Malaysia ' Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak 53100, Kuala Lumpur, Malaysia ' Higher Institute of Transport and Logistics of Sousse, University of Sousse, 12, Rue Abdallah Ibn Zoubeïr – 4000, Sousse, Tunisia ' Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak 53100, Kuala Lumpur, Malaysia ' Electrical and Electronics Engineering Department, Faculty of Engineering, Unimas Kota Samarahan 94300, Sarawak, Malaysia ' Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak 53100, Kuala Lumpur, Malaysia ' Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak 53100, Kuala Lumpur, Malaysia

Abstract: In this paper, path loss measurements were conducted and a path loss model was proposed for wireless sensor networks (WSNs) operating in indoor environment. This is done with a view to study transmit power requirements in indoor application of WSNs. The proposed model is a hybrid of the two-ray ground reflection model and the log-normal model and considers frequency and three-dimensional link trajectory as key parameters in evaluating path loss. The study highlights the effect of height on path loss exponent by means of various measurements taken in indoor environment. Comparison with the empirical data and other models in the literature was conducted and had very favourable results for the proposed model.

Keywords: channel models; indoor environments; path loss exponent; ZigBee; empirical models.

DOI: 10.1504/IJUWBCS.2018.092427

International Journal of Ultra Wideband Communications and Systems, 2018 Vol.3 No.4, pp.192 - 200

Accepted: 03 May 2017
Published online: 19 Jun 2018 *

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