Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors

As radio-frequency (RF) based wireless energy harvesting technology can provide remote and continuous power to low-power devices, e.g., wireless sensors, it may be a substitute for batteries and extend the lifetime of the wireless sensor networks. In this paper, we propose a wireless energy harvesti...

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Autores principales:	Song Chen, Dunge Liu, Yubin Zhao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wireless power transfer localization Fisher information matrix integer programming energy efficiency Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/39fe9f9fa42947ea93fcb0dbbd05561c
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spelling	oai:doaj.org-article:39fe9f9fa42947ea93fcb0dbbd05561c2021-11-11T15:37:21ZTarget Localization and Power Allocation Using Wireless Energy Harvesting Sensors10.3390/electronics102125922079-9292https://doaj.org/article/39fe9f9fa42947ea93fcb0dbbd05561c2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2592https://doaj.org/toc/2079-9292As radio-frequency (RF) based wireless energy harvesting technology can provide remote and continuous power to low-power devices, e.g., wireless sensors, it may be a substitute for batteries and extend the lifetime of the wireless sensor networks. In this paper, we propose a wireless energy harvesting localization system (WEHLoc), which contains batteryless wireless sensors as anchors and an energy access point (E-AP) to transfer power to the anchors. We consider a passive target localization scenario, in which the anchors monitor the target and send the sensed ranging data back to the E-AP. Additionally, we formulate the optimal estimation accuracy problem which is a 0–1 mixed-integer programming problem and relates to the energy beam, target transmitted power, and deployed anchor density. Then, we develop the power allocation scheme of the E-AP to solve the objective. In order to reduce the complexity, we propose a heuristic method that converts the maximum estimation accuracy problem into the energy efficiency problem and use linear programming to solve them. The simulations demonstrate that WEHLoc can be massively deployed in a wide area, and the estimation error and the power consumption are relatively low.Song ChenDunge LiuYubin ZhaoMDPI AGarticlewireless power transferlocalizationFisher information matrixinteger programmingenergy efficiencyElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2592, p 2592 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wireless power transfer localization Fisher information matrix integer programming energy efficiency Electronics TK7800-8360
spellingShingle	wireless power transfer localization Fisher information matrix integer programming energy efficiency Electronics TK7800-8360 Song Chen Dunge Liu Yubin Zhao Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
description	As radio-frequency (RF) based wireless energy harvesting technology can provide remote and continuous power to low-power devices, e.g., wireless sensors, it may be a substitute for batteries and extend the lifetime of the wireless sensor networks. In this paper, we propose a wireless energy harvesting localization system (WEHLoc), which contains batteryless wireless sensors as anchors and an energy access point (E-AP) to transfer power to the anchors. We consider a passive target localization scenario, in which the anchors monitor the target and send the sensed ranging data back to the E-AP. Additionally, we formulate the optimal estimation accuracy problem which is a 0–1 mixed-integer programming problem and relates to the energy beam, target transmitted power, and deployed anchor density. Then, we develop the power allocation scheme of the E-AP to solve the objective. In order to reduce the complexity, we propose a heuristic method that converts the maximum estimation accuracy problem into the energy efficiency problem and use linear programming to solve them. The simulations demonstrate that WEHLoc can be massively deployed in a wide area, and the estimation error and the power consumption are relatively low.
format	article
author	Song Chen Dunge Liu Yubin Zhao
author_facet	Song Chen Dunge Liu Yubin Zhao
author_sort	Song Chen
title	Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
title_short	Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
title_full	Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
title_fullStr	Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
title_full_unstemmed	Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors
title_sort	target localization and power allocation using wireless energy harvesting sensors
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/39fe9f9fa42947ea93fcb0dbbd05561c
work_keys_str_mv	AT songchen targetlocalizationandpowerallocationusingwirelessenergyharvestingsensors AT dungeliu targetlocalizationandpowerallocationusingwirelessenergyharvestingsensors AT yubinzhao targetlocalizationandpowerallocationusingwirelessenergyharvestingsensors
_version_	1718434852429103104

Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors

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