IEICE TRANSACTIONS on Communications
Stackelberg Game for Wireless-Powered Relays Assisted Batteryless IoT Networks
Summary :
In this paper, we investigate a wireless-powered relays assisted batteryless IoT network based on the non-linear energy harvesting model, where there exists an energy service provider constituted by the hybrid access point (HAP) and an IoT service provider constituted by multiple clusters. The HAP provides energy signals to the batteryless devices for information backscattering and the wireless-powered relays for energy harvesting. The relays are deployed to assist the batteryless devices with the information transmission to the HAP by using the harvested energy. To model the energy interactions between the energy service provider and IoT service provider, we propose a Stackelberg game based framework. We aim to maximize the respective utility values of the two providers. Since the utility maximization problem of the IoT service provider is non-convex, we employ the fractional programming theory and propose a block coordinate descent (BCD) based algorithm with successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques to solve it. Numerical simulation results confirm that compared to the benchmark schemes, our proposed scheme can achieve larger utility values for both the energy service provider and IoT service provider.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E106-B No.12 pp.1479-1490
- Publication Date
- 2023/12/01
- Publicized
- 2023/08/10
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2023EBP3028
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Yanming CHEN
Nanjing University of Posts and Telecommunications
Bin LYU
Nanjing University of Posts and Telecommunications
Zhen YANG
Nanjing University of Posts and Telecommunications
Fei LI
Nanjing University of Posts and Telecommunications
Keyword
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Yanming CHEN, Bin LYU, Zhen YANG, Fei LI, "Stackelberg Game for Wireless-Powered Relays Assisted Batteryless IoT Networks" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 12, pp. 1479-1490, December 2023, doi: 10.1587/transcom.2023EBP3028.
Abstract: In this paper, we investigate a wireless-powered relays assisted batteryless IoT network based on the non-linear energy harvesting model, where there exists an energy service provider constituted by the hybrid access point (HAP) and an IoT service provider constituted by multiple clusters. The HAP provides energy signals to the batteryless devices for information backscattering and the wireless-powered relays for energy harvesting. The relays are deployed to assist the batteryless devices with the information transmission to the HAP by using the harvested energy. To model the energy interactions between the energy service provider and IoT service provider, we propose a Stackelberg game based framework. We aim to maximize the respective utility values of the two providers. Since the utility maximization problem of the IoT service provider is non-convex, we employ the fractional programming theory and propose a block coordinate descent (BCD) based algorithm with successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques to solve it. Numerical simulation results confirm that compared to the benchmark schemes, our proposed scheme can achieve larger utility values for both the energy service provider and IoT service provider.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3028/_p
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@ARTICLE{e106-b_12_1479,
author={Yanming CHEN, Bin LYU, Zhen YANG, Fei LI, },
journal={IEICE TRANSACTIONS on Communications},
title={Stackelberg Game for Wireless-Powered Relays Assisted Batteryless IoT Networks},
year={2023},
volume={E106-B},
number={12},
pages={1479-1490},
abstract={In this paper, we investigate a wireless-powered relays assisted batteryless IoT network based on the non-linear energy harvesting model, where there exists an energy service provider constituted by the hybrid access point (HAP) and an IoT service provider constituted by multiple clusters. The HAP provides energy signals to the batteryless devices for information backscattering and the wireless-powered relays for energy harvesting. The relays are deployed to assist the batteryless devices with the information transmission to the HAP by using the harvested energy. To model the energy interactions between the energy service provider and IoT service provider, we propose a Stackelberg game based framework. We aim to maximize the respective utility values of the two providers. Since the utility maximization problem of the IoT service provider is non-convex, we employ the fractional programming theory and propose a block coordinate descent (BCD) based algorithm with successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques to solve it. Numerical simulation results confirm that compared to the benchmark schemes, our proposed scheme can achieve larger utility values for both the energy service provider and IoT service provider.},
keywords={},
doi={10.1587/transcom.2023EBP3028},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Stackelberg Game for Wireless-Powered Relays Assisted Batteryless IoT Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1479
EP - 1490
AU - Yanming CHEN
AU - Bin LYU
AU - Zhen YANG
AU - Fei LI
PY - 2023
DO - 10.1587/transcom.2023EBP3028
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2023
AB - In this paper, we investigate a wireless-powered relays assisted batteryless IoT network based on the non-linear energy harvesting model, where there exists an energy service provider constituted by the hybrid access point (HAP) and an IoT service provider constituted by multiple clusters. The HAP provides energy signals to the batteryless devices for information backscattering and the wireless-powered relays for energy harvesting. The relays are deployed to assist the batteryless devices with the information transmission to the HAP by using the harvested energy. To model the energy interactions between the energy service provider and IoT service provider, we propose a Stackelberg game based framework. We aim to maximize the respective utility values of the two providers. Since the utility maximization problem of the IoT service provider is non-convex, we employ the fractional programming theory and propose a block coordinate descent (BCD) based algorithm with successive convex approximation (SCA) and semi-definite relaxation (SDR) techniques to solve it. Numerical simulation results confirm that compared to the benchmark schemes, our proposed scheme can achieve larger utility values for both the energy service provider and IoT service provider.
ER -
English
