Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications

Backscatter communications have been acknowledged as an essential key technology in the Internet of Things (IoT) applications. Considering the fact that it needs the coordination from network agents, cooperative bargaining theory is an effective method to strike an appropriate system performance. In...

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Autor principal:	Sungwook Kim
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Backscatter communications Internet of Things harvest-then-transmit cognitive radio cooperative bargaining theory Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0b1d998ef15b445291d5355b40e9d239
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id	oai:doaj.org-article:0b1d998ef15b445291d5355b40e9d239
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spelling	oai:doaj.org-article:0b1d998ef15b445291d5355b40e9d2392021-11-26T00:01:58ZBargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications2169-353610.1109/ACCESS.2021.3128207https://doaj.org/article/0b1d998ef15b445291d5355b40e9d2392021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615057/https://doaj.org/toc/2169-3536Backscatter communications have been acknowledged as an essential key technology in the Internet of Things (IoT) applications. Considering the fact that it needs the coordination from network agents, cooperative bargaining theory is an effective method to strike an appropriate system performance. In this paper, we investigate time scheduling algorithms for a backscatter-aided radio-frequency (RF) powered cognitive radio (CR) network, where multiple secondary transmitters can switch among the backscatter, the energy harvest, and active data transmission modes. Our objective is to maximize the RF-CR system performance while exploring the mutual benefits to leverage a reciprocal consensus between different control issues. According to the ideas of two different bargaining solutions - <italic>modified Nash bargaining solution</italic> and <italic>equitable Nash bargaining solution</italic>, we design a new dual bargaining game model to effectively share the limited time resources. The main novelty of our proposed approach is its adaptability, flexibility and responsiveness to current RF-CR system conditions. At last, numerical simulations are carried out to evaluate the performance of the proposed scheme, and we demonstrate the benefits of our dual bargaining game approach.Sungwook KimIEEEarticleBackscatter communicationsInternet of Thingsharvest-then-transmitcognitive radiocooperative bargaining theoryElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155526-155533 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Backscatter communications Internet of Things harvest-then-transmit cognitive radio cooperative bargaining theory Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Backscatter communications Internet of Things harvest-then-transmit cognitive radio cooperative bargaining theory Electrical engineering. Electronics. Nuclear engineering TK1-9971 Sungwook Kim Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
description	Backscatter communications have been acknowledged as an essential key technology in the Internet of Things (IoT) applications. Considering the fact that it needs the coordination from network agents, cooperative bargaining theory is an effective method to strike an appropriate system performance. In this paper, we investigate time scheduling algorithms for a backscatter-aided radio-frequency (RF) powered cognitive radio (CR) network, where multiple secondary transmitters can switch among the backscatter, the energy harvest, and active data transmission modes. Our objective is to maximize the RF-CR system performance while exploring the mutual benefits to leverage a reciprocal consensus between different control issues. According to the ideas of two different bargaining solutions - <italic>modified Nash bargaining solution</italic> and <italic>equitable Nash bargaining solution</italic>, we design a new dual bargaining game model to effectively share the limited time resources. The main novelty of our proposed approach is its adaptability, flexibility and responsiveness to current RF-CR system conditions. At last, numerical simulations are carried out to evaluate the performance of the proposed scheme, and we demonstrate the benefits of our dual bargaining game approach.
format	article
author	Sungwook Kim
author_facet	Sungwook Kim
author_sort	Sungwook Kim
title	Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
title_short	Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
title_full	Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
title_fullStr	Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
title_full_unstemmed	Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications
title_sort	bargaining game based time scheduling scheme for ambient backscatter communications
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0b1d998ef15b445291d5355b40e9d239
work_keys_str_mv	AT sungwookkim bargaininggamebasedtimeschedulingschemeforambientbackscattercommunications
_version_	1718409946979106816

Bargaining Game Based Time Scheduling Scheme for Ambient Backscatter Communications

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