哈尔滨工程大学学报2018，Vol.39Issue(4)：736-743,777,9.DOI:10.11990/jheu.201609086
WSN中基于逐级重建的Provenance增量压缩
Provenance increment compression based on gradual reconstruction in WSNs
摘要
Abstract
In wireless sensor networks(WSNs), provenance is generally used to assess the credibility of the data received by a base station(BS).The present segmented method of provenance transmission has defects,such as a relatively low average compression ratio and a limited ability of BS to decode provenance only when all blocks are received.Therefore, an incremental provenance transmission scheme based on gradual reconstruction was pro -posed,i.e.,on basis of WSN hierarchical clustering.By utilizing the uniqueness of the integer prime number fac-torization,the provenance with the largest granularity is first transmitted.Subsequent provenances in terms of gran-ularity levels will only be transmitted after they are decoded.The BS can reconstruct provenance from high to low granularity;hence,the abovementioned defects can be effectively overcome.Both theoretical analyses and experi-mental results show that this scheme outperforms the existing segmented provenance transmission method on as -pects,such as compression ratio,energy consumption,and robustness.关键词
无线传感网络/多级分簇/溯源/增量传输/逐级重建/分段传输Key words
WSN/hierarchical clustering/provenance/incremental transmission/gradual reconstruction/segmen-ted transmission分类
信息技术与安全科学引用本文复制引用
王昌达,徐芹宝,宋泽,毛健..WSN中基于逐级重建的Provenance增量压缩[J].哈尔滨工程大学学报,2018,39(4):736-743,777,9.基金项目
国家自然科学基金项目(61672269) （61672269）
江苏省科技成果转化项目(BA2015161) （BA2015161）
江苏大学拔尖人才计划(1213000013). （1213000013）
