Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks

Nguyen, NT; Nguyen, DN; Hoang, DT; Van Huynh, N; Nguyen, HN; Nguyen, QT; Dutkiewicz, E

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks

Nguyen, NT Nguyen, DN Hoang, DT Van Huynh, N Nguyen, HN Nguyen, QT Dutkiewicz, E

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, 2021, 00
Issue Date:: 2021

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Field	Value	Language
dc.contributor.author	Nguyen, NT
dc.contributor.author	Nguyen, DN
dc.contributor.author	Hoang, DT
dc.contributor.author	Van Huynh, N
dc.contributor.author	Nguyen, HN
dc.contributor.author	Nguyen, QT
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.date	2020-12-07
dc.date.accessioned	2022-05-26T20:52:15Z
dc.date.available	2022-05-26T20:52:15Z
dc.date.issued	2021
dc.identifier.citation	2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, 2021, 00
dc.identifier.isbn	9781728182988
dc.identifier.issn	2334-0983
dc.identifier.issn	2576-6813
dc.identifier.uri	http://hdl.handle.net/10453/157731
dc.description.abstract	In this paper, an economic model is proposed to jointly optimize profits for participants in a heterogeneous IoT wireless-powered backscatter communication network. In the network under considerations, a power beacon and IoT devices (with various communication types and energy constraints) are assumed to belong to different service providers, i.e., energy service provider (ESP) and IoT service provider (ISP), respectively. To jointly maximize the utility for both service providers in terms of energy efficiency and network throughput, a Stackelberg game model is proposed to study the strategic interaction between the ISP and ESP. In particular, the ISP first evaluates its benefits from providing IoT services to its customers and then sends its requested price together with the service time to the ESP. Based on the request from the ISP, the ESP offers an optimized transmission power that maximizes its utility while meeting energy demands of the ISP. To study the Stackelberg equilibrium, we first obtain a closed-form solution for the ESP and propose a low-complexity iterative method based on block coordinate descent (BCD) to address the non-convex optimization problem for the ISP. Through simulation results, we show that our approach can significantly improve the profits for both providers compared with those of conventional transmission methods, e.g., bistatic backscatter and harvest-then-transmit communication methods.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
dc.relation.ispartof	IEEE Global Communications Conference
dc.relation.ispartofseries	IEEE Global Communications Conference
dc.relation.isbasedon	10.1109/GLOBECOM42002.2020.9322418
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Taipei, Taiwan
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2022-05-26T20:52:14Z
pubs.finish-date	2020-12-11
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2020-12-07
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

In this paper, an economic model is proposed to jointly optimize profits for participants in a heterogeneous IoT wireless-powered backscatter communication network. In the network under considerations, a power beacon and IoT devices (with various communication types and energy constraints) are assumed to belong to different service providers, i.e., energy service provider (ESP) and IoT service provider (ISP), respectively. To jointly maximize the utility for both service providers in terms of energy efficiency and network throughput, a Stackelberg game model is proposed to study the strategic interaction between the ISP and ESP. In particular, the ISP first evaluates its benefits from providing IoT services to its customers and then sends its requested price together with the service time to the ESP. Based on the request from the ISP, the ESP offers an optimized transmission power that maximizes its utility while meeting energy demands of the ISP. To study the Stackelberg equilibrium, we first obtain a closed-form solution for the ESP and propose a low-complexity iterative method based on block coordinate descent (BCD) to address the non-convex optimization problem for the ISP. Through simulation results, we show that our approach can significantly improve the profits for both providers compared with those of conventional transmission methods, e.g., bistatic backscatter and harvest-then-transmit communication methods.

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http://hdl.handle.net/10453/157731