The Energy Saving Scheme of WLAN Based on Bayesian Game

HAN Zhen-zhen; XU Chuan; WANG Qian-yun; WANG Xin-heng; ZHAO Guo-feng

doi:10.3969/j.issn.0372-2112.2019.10.009

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The Energy Saving Scheme of WLAN Based on Bayesian Game

更新时间：2025-07-16

- The Energy Saving Scheme of WLAN Based on Bayesian Game
- Acta Electronica Sinica Vol. 47, Issue 10, Pages: 2083-2088(2019)
- 作者机构：
  
  重庆邮电大学通信与信息工程学院,重庆,400065
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61402065);Postgraduate Innovation Program of Chongqing Municipality (No.CYB18167, NO.BYJS201803);Chongqing Technology Innovation and Application Demonstration Project (No.cstc2018jszx-cyzdX0120)
- DOI：10.3969/j.issn.0372-2112.2019.10.009
  CLC： TP393
- Published Online：25 October 2019，
  
  Published：2019
- 稿件说明：
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HAN Zhen-zhen, XU Chuan, WANG Qian-yun, et al. The Energy Saving Scheme of WLAN Based on Bayesian Game[J]. Acta Electronica Sinica, 2019, 47(10): 2083-2088.
DOI：

HAN Zhen-zhen, XU Chuan, WANG Qian-yun, et al. The Energy Saving Scheme of WLAN Based on Bayesian Game[J]. Acta Electronica Sinica, 2019, 47(10): 2083-2088. DOI： 10.3969/j.issn.0372-2112.2019.10.009.

摘要

针对无线局域网（Wireless Local Area Networks，WLAN）中密集部署无线接入点（Access Point，AP）导致的能耗和同频干扰问题，提出了一种基于贝叶斯博弈的节能机制（BaYesian Game based Energy Saving scheme，BYG-ES）.首先，对通用AP设备的能耗进行测量与分析，构建AP发射功率-负载-能耗的关系模型；然后，基于该关系模型及软件定义网络控制器实时收集的网络状态信息，设计基于贝叶斯博弈的能耗优化模型；最后，利用社会选择函数求解能耗优化模型，获得干扰限制下最优的休眠AP集合和发射功率配置规则，完成用户流量卸载和AP发射功率的调整，同时保证AP参与博弈的诚实性.实验结果表明，BYG-ES节能机制能在减小系统能耗的同时提高网络性能.

Abstract

Aiming at the problem of energy consumption and co-channel interference caused by dense deployment of access points (APs) in wireless local area networks (WLANs)

we propose a Bayesian game-based energy saving scheme (BYG-ES). Firstly

we measure energy consumption on the different real AP devices

and model the relationship among AP transmission power

forwarding load and energy consumption. Then

based on the mathematical relationship model and network status information collected by controller of software-defined network in real time

a Bayesian game based energy optimization design is proposed. Finally

the social selection function is used to solve the energy optimization model

and then the sets of sleeping APs and transmit power configuration rules under the interference constraints are obtained to complete user traffic offloading and AP transmit power configuration. Meanwhile

the BYG-ES can guarantee honesty of all participants during the Bayesian game. Simulation results demonstrate that the BYG-ES can minimize system energy consumption and improve network performances simultaneously.

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