A tripartite matching game model for resource allocation in Multi-UAV assisted WSNs under asymmetric information

IF 4.8 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc Networks Pub Date : 2025-09-01 DOI:10.1016/j.adhoc.2025.103994

Shuang Zhang , Wen Tian , Xufei Ding , Xin Sun , Huaifeng Shi

{"title":"A tripartite matching game model for resource allocation in Multi-UAV assisted WSNs under asymmetric information","authors":"Shuang Zhang , Wen Tian , Xufei Ding , Xin Sun , Huaifeng Shi","doi":"10.1016/j.adhoc.2025.103994","DOIUrl":null,"url":null,"abstract":"<div><div>Unmanned aerial vehicles (UAVs) assisted wireless sensor networks (WSNs), a key component of the Internet of Things (IoT), comprise high mobility data collection device and numerous sensor nodes (SNs) that possess capabilities in sensing, computation, and wireless communication. However, UAV assisted WSN is limited by finite battery energy resources, which can result in substantial resource waste and increased energy consumption due to incorrect matching after multiple UAVs deployments. To resolve this matter, this paper proposes a tripartite matching game model for resource allocation in multi-UAV assisted WSNs (TGRUW) under asymmetric information. Specifically, the TGRUW combines the Vickrey–Clarke–Groves-based reverse (Reverse VCG) auction and the Second-price sealed auction (SPSA) algorithm, which can be used to deal with false information in the process of communication device matching and reduce energy consumption in device matching and communication, while considering computational efficiency, Nash equilibrium, and individual rationality. Finally, numerical simulation results demonstrate that the proposed algorithms achieve significant energy saving compared with random sampling-based method (RSBM), low cost preferred method (LCPM) and high valuation preferred method (HVPM).</div></div>","PeriodicalId":55555,"journal":{"name":"Ad Hoc Networks","volume":"179 ","pages":"Article 103994"},"PeriodicalIF":4.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570870525002422","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Unmanned aerial vehicles (UAVs) assisted wireless sensor networks (WSNs), a key component of the Internet of Things (IoT), comprise high mobility data collection device and numerous sensor nodes (SNs) that possess capabilities in sensing, computation, and wireless communication. However, UAV assisted WSN is limited by finite battery energy resources, which can result in substantial resource waste and increased energy consumption due to incorrect matching after multiple UAVs deployments. To resolve this matter, this paper proposes a tripartite matching game model for resource allocation in multi-UAV assisted WSNs (TGRUW) under asymmetric information. Specifically, the TGRUW combines the Vickrey–Clarke–Groves-based reverse (Reverse VCG) auction and the Second-price sealed auction (SPSA) algorithm, which can be used to deal with false information in the process of communication device matching and reduce energy consumption in device matching and communication, while considering computational efficiency, Nash equilibrium, and individual rationality. Finally, numerical simulation results demonstrate that the proposed algorithms achieve significant energy saving compared with random sampling-based method (RSBM), low cost preferred method (LCPM) and high valuation preferred method (HVPM).

查看原文本刊更多论文

非对称信息下多无人机辅助无线传感器网络资源分配的三方匹配博弈模型

无人机（uav）辅助无线传感器网络（wsn）是物联网（IoT）的关键组成部分，由高移动性数据收集设备和具有传感、计算和无线通信能力的众多传感器节点（SNs）组成。然而，无人机辅助无线传感器网络受限于有限的电池能量资源，在多架无人机部署后，由于不正确的匹配会导致大量的资源浪费和能源消耗增加。为了解决这一问题，本文提出了一种信息不对称条件下多无人机辅助无线传感器网络资源分配的三方匹配博弈模型。具体而言，TGRUW结合了基于vickrey - clarke - groves的reverse （reverse VCG）竞价和Second-price sealed auction （SPSA）算法，可以在考虑计算效率、纳什均衡和个体理性的同时，处理通信设备匹配过程中的虚假信息，降低设备匹配和通信中的能耗。最后，数值仿真结果表明，与基于随机抽样的方法（RSBM）、低成本优先方法（LCPM）和高估值优先方法（HVPM）相比，所提算法具有显著的节能效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.