面向区块链物联网的缓存能耗优化策略研究  

Research on Optimization Strategy of Cache Energy Sumption for Blockchain Internet of Things

作　　者：陈曦[1] 谭源 谭咏林 CHEN Xi;TAN Yuan;TAN Yong-lin(The Secondary College of Economics and Management,Wuhan Railway Vocational College of Technology,Wuhan 430225,China)

机构地区：[1]武汉铁路职业技术学院经济与管理学院,武汉430225

出　　处：《西安文理学院学报（自然科学版）》2023年第2期11-15,共5页Journal of Xi’an University(Natural Science Edition)

基　　金：国家自然科学基金项目(71277097)。

摘　　要：为了兼顾提供高质量服务和降低能源消耗,提出了请求图卷积模型(RGC)来捕获基于区块链的物联网网络中的时空请求模式并进行预测.提出了一种基于预测的启发式算法,制定预缓存策略,确定要缓存的数据和位置,以最小化受物联网网络实体缓存空间和物联网内容新鲜度限制的平均数据检索延迟.实验表明,本文算法提高了缓存的综合性能.In order to provide high-quality services and reduce energy consumption,a request graph convolution model(RGC)is proposed to capture and predict the space-time request patterns in the blockchain-based Internet of Things network in this paper.A prediction-based heuristic algorithm is proposed to formulate a pre-cache strategy and determine the data and location to be cached to minimize the average data retrieval delay limited by the physical cache space of the Internet of Things and the freshness of the content of the Internet of Things.Experiments show that the proposed algorithm in this paper improves the overall performance of the cache.

关 键 词：区块链物联网 缓存算法 能耗优化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]