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作 者:张云天 申玉民 王旭[1] 王金龙[1] ZHANG Yun-tian;SHEN Yu-min;WANG Xu;WANG Jin-long(Qingdao University of Technology School of Information and Control,Qingdao Shandong 266525,China)
机构地区:[1]青岛理工大学信息与控制学院,山东青岛266525
出 处:《计算机仿真》2023年第3期413-416,425,共5页Computer Simulation
基 金:山东省重点研发计划项目资助(2019GGX101017)。
摘 要:针对物联网的规模和数据量快速增长,现有算法难以满足动态数据汇集的高效和安全要求,提出了融合区块链信誉共识的数据汇集算法。首先根据物联网架构设计了区块链数据汇集模型,使区块链模型实现于物理层面,并基于模型设计了加密算法。然后优化时序数据库链,利用矢量量化压缩来降低数据的交互量与存储量,同时考虑了对浮点型数据的支持。最后设计了信誉共识算法,利用信誉判断节点的状态,确定节点是否可以参与签名,并通过共识机制对议案进行决策,进而得出最终的数据汇集策略。分别对所提算法的汇集延时、响应时间、吞吐量和丢包率进行了仿真,结果证明所提算法能够很好的处理高节点密度与高数据并发场合下的动态数据汇集,有效提高响应速度与数据吞吐量,显著降低了汇集延时。丢包率的改善说明算法有效提升了动态数据汇集的安全性与可靠性。In view of the rapid growth of the scale and data volume of the Internet of things,it is difficult for the existing algorithms to meet the requirements of high efficiency and security of dynamic data collection.Firstly,a block chain data collection model was designed according to the architecture of Internet of things,so that the blockchain model can be realized at the physical level,and an encryption algorithm was designed based on the model.Secondly,the sequential database chain was optimized,and vector quantization compression was used to reduce the amount of data interaction and storage,while the support for floating-point data was considered.Finally,a reputation consensus algorithm was designed,which used reputation to judge the status of nodes and determine whether nodes can participate in the signature,and made decisions on the proposal through the consensus mechanism,and then obtain the final data collection strategy.The convergence delay,response time,throughput and packet loss rate of the proposed algorithm were simulated.The results show that the proposed algorithm can handle the dynamic data collection in high node density and high data concurrency,effectively improve the response speed and data throughput,and significantly reduce the aggregation delay.In addition,the improvement of packet loss rate shows that the algorithm effectively improves the security and reliability of dynamic data collection.
关 键 词:物联网 动态数据汇集 区块链 矢量量化压缩 信誉共识
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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