A Fuzzy Knowledge Based Mechanism for Secure Data Aggregation in Wireless Sensor Networks

被引：2
|
作者：
Acharya, Sasmita [1 ]
Tripathy, C. R. [2 ]
机构：
[1] VSS Univ Technol, Dept Comp Applicat, Burla, India
[2] VSS Univ Technol, Dept Comp Sci & Engn, Burla, India
来源：
COMPUTATIONAL INTELLIGENCE IN DATA MINING, CIDM 2016 | 2017年 / 556卷
关键词：
Wireless Sensor Networks; Fuzzy Logic; Privacy Homomorphic Cryptography; Data Aggregation;
D O I：
10.1007/978-981-10-3874-7_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wireless Sensor Networks (WSNs) consist of a number of limited energy sensor nodes deployed randomly over an area. The paper proposes a fuzzy knowledge based secure tree-based data aggregation mechanism for WSNs called the Fuzzy knowledge based Data Aggregation Scheme (FDAS). In the proposed FDAS mechanism, a combination of fuzzy rules is applied to predict the node status of each node in the aggregation tree. The faulty nodes are then isolated from the process of data aggregation. The proposed FDAS mechanism also ensures the security of the network by the application of the privacy homomorphic cryptography technique. It has been found to give better performance characteristics than the other existing algorithms as validated through the results obtained from simulation.
引用
收藏
页码：77 / 88
页数：12
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