An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT

In wireless sensor networks, it is crucial to support the collected data of sensor nodes with position information. One of the promising ways to acquire the position of unknown nodes is using a mobile anchor node that traverses throughout the network, stops at determined points, and sends its positi...

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Autores principales:	Enas M. Ahmed, Anar A. Hady, Sherine M. Abd El-Kader, Abeer Twakol Khalil, Wael A. Mohamed
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	localization model schemes mobile wireless sensor network path model design positioning Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/7567406ee06e495a8dd7ba28e22e23e4
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id	oai:doaj.org-article:7567406ee06e495a8dd7ba28e22e23e4
record_format	dspace
spelling	oai:doaj.org-article:7567406ee06e495a8dd7ba28e22e23e42021-11-25T17:24:24ZAn Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT10.3390/electronics102227572079-9292https://doaj.org/article/7567406ee06e495a8dd7ba28e22e23e42021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2757https://doaj.org/toc/2079-9292In wireless sensor networks, it is crucial to support the collected data of sensor nodes with position information. One of the promising ways to acquire the position of unknown nodes is using a mobile anchor node that traverses throughout the network, stops at determined points, and sends its position to aid in obtaining the location of other unknown nodes. The main challenge in using mobile anchor nodes lies in designing the path model with the highest localization accuracy, shortest path length, full coverage area, and minimal power consumption. In this paper, a path model named the Arrow-Curve path model is proposed for mobile node aided localization. The proposed path model can effectively localize all the static unknown sensor positions in the network field with high positioning accuracy and low power consumption while pledging full coverage area. The sensor network is implemented using MATLAB simulation and MCU node in both static unknown nodes and the mobile anchor node. The realtime environment guarantees a realistic environmental model with reliable results. The path model is implemented in realtime in indoor and outdoor environments and compared to the H-Curve path model using a trilateration technique. The results show that the suggested path model achieves better results compared to H-Curve model. The proposed path model achieves an average position error less than that of H-Curve by 10.6% in a simulation environment, 5% in an outdoor realtime environment, and 9% in an indoor realtime environment, and it decreases power consumption by 62.65% in the simulation environment, 50% in the outdoor realtime environment, and 75% in the realtime environment in indoor compared to H-Curve.Enas M. AhmedAnar A. HadySherine M. Abd El-KaderAbeer Twakol KhalilWael A. MohamedMDPI AGarticlelocalization model schemesmobile wireless sensor networkpath model designpositioningElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2757, p 2757 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	localization model schemes mobile wireless sensor network path model design positioning Electronics TK7800-8360
spellingShingle	localization model schemes mobile wireless sensor network path model design positioning Electronics TK7800-8360 Enas M. Ahmed Anar A. Hady Sherine M. Abd El-Kader Abeer Twakol Khalil Wael A. Mohamed An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
description	In wireless sensor networks, it is crucial to support the collected data of sensor nodes with position information. One of the promising ways to acquire the position of unknown nodes is using a mobile anchor node that traverses throughout the network, stops at determined points, and sends its position to aid in obtaining the location of other unknown nodes. The main challenge in using mobile anchor nodes lies in designing the path model with the highest localization accuracy, shortest path length, full coverage area, and minimal power consumption. In this paper, a path model named the Arrow-Curve path model is proposed for mobile node aided localization. The proposed path model can effectively localize all the static unknown sensor positions in the network field with high positioning accuracy and low power consumption while pledging full coverage area. The sensor network is implemented using MATLAB simulation and MCU node in both static unknown nodes and the mobile anchor node. The realtime environment guarantees a realistic environmental model with reliable results. The path model is implemented in realtime in indoor and outdoor environments and compared to the H-Curve path model using a trilateration technique. The results show that the suggested path model achieves better results compared to H-Curve model. The proposed path model achieves an average position error less than that of H-Curve by 10.6% in a simulation environment, 5% in an outdoor realtime environment, and 9% in an indoor realtime environment, and it decreases power consumption by 62.65% in the simulation environment, 50% in the outdoor realtime environment, and 75% in the realtime environment in indoor compared to H-Curve.
format	article
author	Enas M. Ahmed Anar A. Hady Sherine M. Abd El-Kader Abeer Twakol Khalil Wael A. Mohamed
author_facet	Enas M. Ahmed Anar A. Hady Sherine M. Abd El-Kader Abeer Twakol Khalil Wael A. Mohamed
author_sort	Enas M. Ahmed
title	An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
title_short	An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
title_full	An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
title_fullStr	An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
title_full_unstemmed	An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT
title_sort	arrow-curve path planning model for mobile beacon node aided localization in air pollution monitoring system iot
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7567406ee06e495a8dd7ba28e22e23e4
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An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT

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