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http://dx.doi.org/10.9708/jksci.2012.17.2.119

A Sextant Cluster Based Monitoring on Secure Data Aggregation and Filtering False Data in Wireless Sensor Networks  

Boonsongsrikul, Anuparp (Dept. of Information and Communication, Ajou University)
Park, Seung-Kyu (Dept. of Information and Communication, Ajou University)
Shin, Seung-Hun (Div. of Information and Computer, Ajou University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.2, 2012 , pp. 119-126 More about this Journal
Abstract
Local monitoring is an effective technique in securing data of wireless sensor networks. Existing solutions require high communication cost for detecting false data and this results in a network lifetime being shortened. This paper proposes novel techniques of monitoring based secure data aggregation and filtering false data in wireless sensor networks. The aim is to reduce energy consumption in securing data aggregation. An aggregator and its monitoring node perform data aggregation in a 60o sextant cluster. By checking Message Authentication Codes (MAC), aggregation data will be dropped by a forward aggregator if data aggregated by the aggregator and data monitored by the monitoring node are inconsistent. The simulation shows that the proposed protocol can reduce the amount of average energy consumption about 64% when comparing with the Data Aggregation and Authentication protocol (DAA)[1]. Additionally, the network lifetime of the proposed protocol is 283% longer than that of DAA without any decline in data integrity.
Keywords
Sensor Networks; Data Aggregation; Energy Consumption; Data integrity; Monitoring;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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