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An Enhanced Binary Space Partitioning Algorithm for Indoor Radio PropagationKAUSAR, A. S. M. Z. , REZA, A. W. , NOORDIN, K. A. , ISLAM, M. J. , RAMIAH, H. |
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Author keywords
radiowave propagation, personal communication networks, wireless communications, wireless sensor networks
References keywords
tracing(12), propagation(10), research(9), progress(9), electromagnetics(9), space(8), pier(8), prediction(6), optimization(6), indoor(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 103 - 110
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04018
Web of Science Accession Number: 000331461300018
SCOPUS ID: 84890200621
Abstract
Precise multipath propagation modeling is the fundamental prerequisite to design indoor wireless radio networks. In recent years, ray tracing based propagation prediction algorithms have been successfully used in prediction of indoor radio propagation. Even though these algorithms have its own noticeable benefits, it suffers from lack of accuracy and sluggish performance. To overcome these shortcomings, a new three dimensional (3D) ray tracing algorithm is presented here. This algorithm is based on balanced Binary Space Partitioning (BSP). For optimization purposes, novel concepts of Nearest Object Priority (NOP) and In Contact Surface (ICS) are combined with this BSP. Using of BSP as well as optimization techniques make the algorithm faster and more accurate. The obtained results show that, among all of the scenarios of five considered environments, the maximum accuracy increase can be 87.27% and the maximum computation time reduction can be 33.60% than the existing algorithms. |
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[1] An efficient indoor ray-tracing propagation model with a quasi-3D approach, Grubisic, Stevan, Carpes Jr, Walter Pereira, Journal of Microwaves, Optoelectronics and Electromagnetic Applications, ISSN 2179-1074, Issue 2, Volume 13, 2014.
Digital Object Identifier: 10.1590/S2179-10742014000200005 [CrossRef]
[2] Formal estimation of wireless network services for signal strength and electromagnetic wave association in an International Green University, Fan, Yang-Hsin, Scientific Reports, ISSN 2045-2322, Issue 1, Volume 14, 2024.
Digital Object Identifier: 10.1038/s41598-024-71681-z [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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