设备对设备通信中支持区块链的内容缓存的最佳激励机制

Yasin Habtamu Yacob, Ruijie Ou, Guolin Sun, Wei Jiang
{"title":"设备对设备通信中支持区块链的内容缓存的最佳激励机制","authors":"Yasin Habtamu Yacob, Ruijie Ou, Guolin Sun, Wei Jiang","doi":"10.1109/CCPQT56151.2022.00048","DOIUrl":null,"url":null,"abstract":"Cache-enabled device-to-device (D2D) communication is a promising approach to minimize data traffic and reduce communication costs and extra resource consumption. However, mobile user equipments (MUEs) have resource scarcity problems for storage, computation capacity, and battery lifetime. Due to these limited resources among untrusted MUEs, it becomes challenging to keep large content caches, maintain service quality, and provide secure transaction exchanges in D2D communication. Thus, Blockchain-enabled D2D content caching (BDCC) has recently become a new approach for caching popular content locally and sharing it with other MUEs securely and efficiently in a decentralized manner. Nevertheless, the existing BDCC system lacks an optimal incentive mechanism that motivates content providers (CPs) and content requestors (CRs) to maximize profit and utility. Hence, to address these problems, we introduce an efficient pricing-based incentive scheme that uses a two-stage Stackelberg game to allow the CPs and CRs to adjust the optimal strategy while maximizing their profit continually. Finally, the simulation results show that the proposed incentive scheme outperforms the baseline schemes in terms of the utility of CPs and CRs and the cache hit and miss ratio of the BDCC system.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimal Incentive Mechanism for Blockchain-enabled Content Caching in Device-to-Device Communication\",\"authors\":\"Yasin Habtamu Yacob, Ruijie Ou, Guolin Sun, Wei Jiang\",\"doi\":\"10.1109/CCPQT56151.2022.00048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cache-enabled device-to-device (D2D) communication is a promising approach to minimize data traffic and reduce communication costs and extra resource consumption. However, mobile user equipments (MUEs) have resource scarcity problems for storage, computation capacity, and battery lifetime. Due to these limited resources among untrusted MUEs, it becomes challenging to keep large content caches, maintain service quality, and provide secure transaction exchanges in D2D communication. Thus, Blockchain-enabled D2D content caching (BDCC) has recently become a new approach for caching popular content locally and sharing it with other MUEs securely and efficiently in a decentralized manner. Nevertheless, the existing BDCC system lacks an optimal incentive mechanism that motivates content providers (CPs) and content requestors (CRs) to maximize profit and utility. Hence, to address these problems, we introduce an efficient pricing-based incentive scheme that uses a two-stage Stackelberg game to allow the CPs and CRs to adjust the optimal strategy while maximizing their profit continually. Finally, the simulation results show that the proposed incentive scheme outperforms the baseline schemes in terms of the utility of CPs and CRs and the cache hit and miss ratio of the BDCC system.\",\"PeriodicalId\":235893,\"journal\":{\"name\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPQT56151.2022.00048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPQT56151.2022.00048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

支持缓存的设备到设备(D2D)通信是一种很有前途的方法,可以最大限度地减少数据流量,降低通信成本和额外的资源消耗。然而,移动用户设备在存储、计算能力和电池寿命等方面存在资源稀缺的问题。由于不受信任的mue之间的这些有限资源,在D2D通信中保持大型内容缓存、保持服务质量和提供安全的事务交换变得具有挑战性。因此,支持区块链的D2D内容缓存(BDCC)最近成为一种新的方法,用于在本地缓存流行内容,并以分散的方式安全有效地与其他mue共享。然而,现有的BDCC系统缺乏激励内容提供者(CPs)和内容请求者(cr)实现利润和效用最大化的最佳激励机制。因此,为了解决这些问题,我们引入了一种有效的基于定价的激励方案,该方案使用两阶段Stackelberg博弈来允许cp和cr在不断最大化其利润的同时调整最优策略。最后,仿真结果表明,所提激励方案在CPs和cr的效用以及BDCC系统的缓存命中率和失误率方面都优于基准方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An Optimal Incentive Mechanism for Blockchain-enabled Content Caching in Device-to-Device Communication
Cache-enabled device-to-device (D2D) communication is a promising approach to minimize data traffic and reduce communication costs and extra resource consumption. However, mobile user equipments (MUEs) have resource scarcity problems for storage, computation capacity, and battery lifetime. Due to these limited resources among untrusted MUEs, it becomes challenging to keep large content caches, maintain service quality, and provide secure transaction exchanges in D2D communication. Thus, Blockchain-enabled D2D content caching (BDCC) has recently become a new approach for caching popular content locally and sharing it with other MUEs securely and efficiently in a decentralized manner. Nevertheless, the existing BDCC system lacks an optimal incentive mechanism that motivates content providers (CPs) and content requestors (CRs) to maximize profit and utility. Hence, to address these problems, we introduce an efficient pricing-based incentive scheme that uses a two-stage Stackelberg game to allow the CPs and CRs to adjust the optimal strategy while maximizing their profit continually. Finally, the simulation results show that the proposed incentive scheme outperforms the baseline schemes in terms of the utility of CPs and CRs and the cache hit and miss ratio of the BDCC system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Building a Spaceborne Integrated High-performance Processing and Computing Platform Based on SpaceVPX An Integrated Formal Description Method for Network Attacks TD3-based Algorithm for Node Selection on Multi-tier Federated Learning An Ultra-wideband Adjustable Pulse Generator Design A Multi-class image reranking algorithm based on multiple discrete-time quantum walk
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1