Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz

Near-ground channel characterization is an important issue in most military applications of wireless sensor networks. However, the channel at the ground level lacks characterization. In this paper, we present a path loss model for three near-ground scenarios. The path loss values for each scenario w...

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Main Authors: Daihua Wang, Linli Song, Xiangshan Kong, Zhijie Zhang
Format: Article
Language:English
Published: SAGE Publishing 2012-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/969712
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spelling doaj-e3903bd8004143239e806400edf7aa012020-11-25T03:43:39ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772012-08-01810.1155/2012/969712Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHzDaihua Wang0Linli Song1Xiangshan Kong2Zhijie Zhang3 National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China Key Laboratory of Instrumentation Science and Dynamic Measurement of The Ministry of Education, North University of China, Taiyuan 030051, China North Automatic Control Technology Institute, CNGC, Taiyuan 030006, China National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, ChinaNear-ground channel characterization is an important issue in most military applications of wireless sensor networks. However, the channel at the ground level lacks characterization. In this paper, we present a path loss model for three near-ground scenarios. The path loss values for each scenario were captured through extensive measurements, and then a least-square linear regression was performed. This indicates that the log-distance-based model is still suitable for path loss modeling in near-ground scenarios, and the prediction accuracy of the two-slope model is superior to that of the one-slope model. The validity of the proposed model was further verified by comparisons between the predicted and measured far-field path losses. Finally, compared to the generic models, the proposed model is more effective for the path loss prediction in near-ground scenarios.https://doi.org/10.1155/2012/969712
collection DOAJ
language English
format Article
sources DOAJ
author Daihua Wang
Linli Song
Xiangshan Kong
Zhijie Zhang
spellingShingle Daihua Wang
Linli Song
Xiangshan Kong
Zhijie Zhang
Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
International Journal of Distributed Sensor Networks
author_facet Daihua Wang
Linli Song
Xiangshan Kong
Zhijie Zhang
author_sort Daihua Wang
title Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
title_short Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
title_full Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
title_fullStr Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
title_full_unstemmed Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz
title_sort near-ground path loss measurements and modeling for wireless sensor networks at 2.4 ghz
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2012-08-01
description Near-ground channel characterization is an important issue in most military applications of wireless sensor networks. However, the channel at the ground level lacks characterization. In this paper, we present a path loss model for three near-ground scenarios. The path loss values for each scenario were captured through extensive measurements, and then a least-square linear regression was performed. This indicates that the log-distance-based model is still suitable for path loss modeling in near-ground scenarios, and the prediction accuracy of the two-slope model is superior to that of the one-slope model. The validity of the proposed model was further verified by comparisons between the predicted and measured far-field path losses. Finally, compared to the generic models, the proposed model is more effective for the path loss prediction in near-ground scenarios.
url https://doi.org/10.1155/2012/969712
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AT linlisong neargroundpathlossmeasurementsandmodelingforwirelesssensornetworksat24ghz
AT xiangshankong neargroundpathlossmeasurementsandmodelingforwirelesssensornetworksat24ghz
AT zhijiezhang neargroundpathlossmeasurementsandmodelingforwirelesssensornetworksat24ghz
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