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树形传感网络中一种不等概率标记追踪策略

Unequal Probability Marking Based Traceback Approach for Tree Based WSNs

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【作者】 李伊展左政邦刘安丰

【Author】 LI Yi-zhan;ZUO Zheng-bang;LIU An-feng;Information Security and Big Data Research Institute , Central South University;Affiliated Middle School, Hunan Normal University;School of Information Science and Engineering , Central South University;

【机构】 中南大学信息安全与大数据研究院湖南师范大学附属中学中南大学信息科学与工程学院

【摘要】 文章的主要创新是改进了日志与标记与策略中所有节点都采用相等的标记概的不足。提出了一种非等概率标记、日志与迁移(unequal probability marking logging and migration,UPLM)策略。在文章提出的策略中,每一个节点依据其距离基站的距离不同而采用不的标记概率,对于远基站区域的节点采用大的标记概率,而对于近基站区域的节点采用小的标记概率。远基站区域较大概率的标记被迁移到更远的剩余存储容量大的节点存放,从而增大的网络的标记量,也就是提高了安全。而对于近基站区域的节点采用较小的标记概率,以减少近基站区域节点存储容量与能量的不足,从而使得整个网络的安全,帮助与存储需求等性能得到了提高。通过大量的实验结果表明,对于一般的树形无线传感器网络,文章提出的UPLM策略存储的标记量是等概率策略的1.12倍到1.28倍,存储容量有效利用率是其它策略的1.15-1.26倍。

【Abstract】 The main contribution of this paper is overcoming the deficiency of LM scheme that the marking probability of all nodes are even. In unequal probability marking logging and migration(UPLM) scheme of this paper, different marking probability are adopted in different nodes according to its distance to Sink. Large marking probability is adopted to nodes in remote area(the area with long distance from Sink) and, on the contrary, small marking probability is adopted to the nodes in peripheral area(area with short distance to Sink) to reduce the consumption of storage and energy, increasing the security performance, lifetime and storage capacity. Marking information will be migrated to nodes with longer distance to Sink to increase the amount of stored marking information and thereby enhancing the security performance in the process of migration. It is indicated by the experimental result that, for general tree-bases WSNs,the UPLM scheme proposed in this paper can store 1.12-1.28 times amount of stored mark compared with the equal probability marking approach and have 1.15-1.26 times storage utilization efficiency compared with other scheme.

【基金】 国家自然科学基金(项目编号:61379110)
  • 【文献出处】 电脑与信息技术 ,Computer and Information Technology , 编辑部邮箱 ,2017年03期
  • 【分类号】TN929.5;TP212.9
  • 【下载频次】36
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