Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things

Xumin HUANG; Yang ZHANG; Rong YU; Li JIANG; Hui TIAN; Yuan WU

doi:10.11959/j.issn.1000-436x.2022231

您当前的位置：

首页 >

文章列表页 >

Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things

Papers | 更新时间：2024-06-05

- Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things
- Journal on Communications Vol. 43, Issue 12, Pages: 146-156(2022)
- 作者机构：
  
  1. 广东工业大学自动化学院，广东广州 510006
  2. 澳门大学智慧城市物联网国家重点实验室，澳门 999078
  3. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
  4. 澳门大学计算机与信息科学系，澳门 999078
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2020YFB1807802);The National Natural Science Foundation of China(62001125);The National Natural Science Foundation of China(61971148)
- DOI：10.11959/j.issn.1000-436x.2022231
  CLC： TN925
- Online First：2022-12，
  
  Published：25 December 2022
- 稿件说明：
移动端阅览
Xumin HUANG, Yang ZHANG, Rong YU, et al. Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things[J]. Journal on Communications, 2022, 43(12): 146-156.
DOI：

Xumin HUANG, Yang ZHANG, Rong YU, et al. Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things[J]. Journal on Communications, 2022, 43(12): 146-156. DOI： 10.11959/j.issn.1000-436x.2022231.

摘要

无人机结合无线能量传输的技术可为物联网终端设备提供能量供应。为了解决充电用户与无人机之间自由公平的能量交易问题，提出一种基于Stackelberg博弈的能量交易方案，赋予用户主方角色，由其决策服务奖励，各无人机作为从方通过能量供应来竞争获取奖励，参考无线能量传输过程中的平均信道增益决策服务用户的充电时长。运用逆向归纳法分析并求解Stackelberg均衡解。实验仿真表明，所提方案可有效减少用户在能量交易中的经济开销，提高用户满意度，实现用户侧能量优化。

Abstract

The technology integrating unmanned aerial vehicles (UAV) with wireless power transfer is applied to provide energy supply for Internet of things devices.A Stackelberg game scheme was further proposed to tackle the problem on free and fair energy trading between a charging user and multiple UAV.The user played as a game leader and determined the rewards while each UAV played as a game follower

which competed for the rewards through the energy supply

and refered to the average channel gain during the wireless power transfer to determine the charging time for the user.The Stackelberg equilibrium solution was analyzed and derived by the backward induction method.Simulation results show that the proposed scheme can effectively reduce the economic cost for the user in the energy trading

thereby improving user satisfaction and achieving the user-side energy optimization.

关键词

Keywords

references

VAILSHERY L S . IoT connected devices worldwide 2019-2030 [R ] . 2021 .

XIE L F , CAO X W , XU J , et al . UAV-enabled wireless power transfer:a tutorial overview [J ] . IEEE Transactions on Green Communications and Networking , 2021 , 5 ( 4 ): 2042 - 2064 .

LIU Y L , DAI H N , WANG Q , et al . Wireless powering Internet of things with UAVs:challenges and opportunities [J ] . IEEE Network , 2022 , 36 ( 2 ): 146 - 152 .

LU X , WANG P , NIYATO D , et al . Wireless networks with RF energy harvesting:a contemporary survey [J ] . IEEE Communications Surveys＆ Tutorials , 2015 , 17 ( 2 ): 757 - 789 .

崔高峰 , 徐媛媛 , 张尚宏 , 等 . 基于最小能耗的多无人机无线网络安全数据卸载策略 [J ] . 通信学报 , 2021 , 42 ( 5 ): 51 - 62 .

CUI G F , XU Y Y , ZHANG S H , et al . Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption [J ] . Journal on Communications , 2021 , 42 ( 5 ): 51 - 62 .

LI M S , CHENG N , GAO J , et al . Energy-efficient UAV-assisted mobile edge computing:resource allocation and trajectory optimization [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 3 ): 3424 - 3438 .

ZHOU Y , PAN C H , YEOH P L , et al . Communication-and-computing latency minimization for UAV-enabled virtual reality delivery systems [J ] . IEEE Transactions on Communications , 2021 , 69 ( 3 ): 1723 - 1735 .

WANG T S , LI Y , WU Y . Energy-efficient UAV assisted secure relay transmission via cooperative computation offloading [J ] . IEEE Transactions on Green Communications and Networking , 2021 , 5 ( 4 ): 1669 - 1683 .

杨君一 , 李博 , 张钦宇 . 基于物理层网络编码的无人机中继网络资源优化 [J ] . 通信学报 , 2021 , 42 ( 9 ): 12 - 20 .

YANG J Y , LI B , ZHANG Q Y . Resource optimization for UAV relay networks based on physical-layer network coding [J ] . Journal on Communications , 2021 , 42 ( 9 ): 12 - 20 .

HU Z Z , ZENG F Z , XIAO Z , et al . Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems [J ] . IEEE Transactions on Network Science and Engineering , 2021 , 8 ( 2 ): 1630 - 1645 .

郎磊 , 王荆宁 , 王一 , 等 . 无人机辅助通信中基于用户轨迹的无线资源和航迹优化 [J ] . 通信学报 , 2022 , 43 ( 3 ): 225 - 232 .

LANG L , WANG J N , WANG Y , et al . Radio resource and trajectory optimization for UAV assisted communication based on user route [J ] . Journal on Communications , 2022 , 43 ( 3 ): 225 - 232 .

SU C X , YE F , WANG L C , et al . UAV-assisted wireless charging for energy-constrained IoT devices using dynamic matching [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 6 ): 4789 - 4800 .

卢为党 , 詹悦者 , 花俏枝 , 等 . 基于无人机无线能量传输的边缘计算系统能耗优化方法研究 [J ] . 电子与信息学报 , 2022 , 44 ( 3 ): 899 - 905 .

LU W D , ZHAN Y Z , HUA Q Z , et al . Energy consumption optimization in UAV wireless power transfer based mobile edge computing system [J ] . Journal of Electronics ＆ Information Technology , 2022 , 44 ( 3 ): 899 - 905 .

DU Y , YANG K , WANG K Z , et al . Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 10 ): 10187 - 10200 .

YE H T , KANG X , JOUNG J , et al . Joint uplink-and-downlink optimization of 3-D UAV swarm deployment for wireless-powered IoT networks [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 17 ): 13397 - 13413 .

WU P F , XIAO F , HUANG H P , et al . Adaptive and extensible energy supply mechanism for UAVs-aided wireless-powered Internet of things [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 9 ): 9201 - 9213 .

刘玲珊 , 熊轲 , 张煜 , 等 . 信息年龄受限下最小化无人机辅助无线供能网络的能耗：一种基于DQN的方法 [J ] . 南京大学学报(自然科学) , 2021 , 57 ( 5 ): 847 - 856 .

LIU L S , XIONG K , ZHANG Y , et al . Energy minimization in UAV-assisted wireless powered sensor networks with AoI constraints:a DQN-based approach [J ] . Journal of Nanjing University (Natural Science) , 2021 , 57 ( 5 ): 847 - 856 .

AL-HOURANI A , KANDEEPAN S , LARDNER S . Optimal LAP altitude for maximum coverage [J ] . IEEE Wireless Communications Letters , 2014 , 3 ( 6 ): 569 - 572 .

MOZAFFARI M , SAAD W , BENNIS M , et al . Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of things communications [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 11 ): 7574 - 7589 .

YANG D J , XUE G L , FANG X , et al . Incentive mechanisms for crowdsensing:crowdsourcing with smartphones [J ] . IEEE/ACM Transactions on Networking , 2016 , 24 ( 3 ): 1732 - 1744 .

BOR-YALINIZ R I , EL-KEYI A , YANIKOMEROGLU H . Efficient 3-D placement of an aerial base station in next generation cellular networks [C ] // Proceedings of 2016 IEEE International Conference on Communications (ICC) . Piscataway:IEEE Press , 2016 : 1 - 5 .

Views

714

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Integrated perception-communication-logistics multi-objective oriented path planning for emergency UAVs

Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning

Resource allocation algorithm for secure communication in UAV-assisted D2D communication network

Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order

Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing

Related Author

XIE Yaqi

YU Ran

HOU Luyang

WANG Kailiang

XU Lianming

XU Yunpeng

Yehui XU

Gengxin ZHANG

Related Institution

State Grid Jibei Information & Telecommunication Company

School of Electronic Engineering, Beijing University of Posts and Telecommunications

School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications

School of Internet of Things, Nanjing University of Posts and Telecommunications

AI问答

⁰