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Journal Article Fuzzy-Based Filtering Solution Selection Method For Dynamic Sensor Networks
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Authors
Hee Suk Seo, Hae Young Lee, Seung Jae Lee, Deok Gyu Lee
Issue Date
2010-12
Citation
Intelligent Automation and Soft Computing, v.16, no.4, pp.579-592
ISSN
1079-8587
Publisher
AutoSoft Press
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1080/10798587.2010.10643102
Abstract
In wireless sensor networks, adversaries can compromise sensor nodes and use them to inject forged reports, which can lead to false alarms and energy depletion. Recently, several reseazch solutions have been proposed to detect and drop such forged reports during the forwarding process. Since each of them has its own energy consumption characteristics, employing only a single filtering solution for a network is not a recommended strategy, in terms of energy savings. While a technique for the adaptive selection of filtering solutions has been proposed, it considers only static networks. This paper presents afuzzy-based filtering solution selection method for dynamic sensor networks. In order to save energy, a fuzzy rule-based system chooses between two filtering solutions and controls detection power by considering network status. The effectiveness of the proposed method is shown by the simulation results described in the final pazt of the paper. © 2010 TSI짰 Press.
KSP Keywords
Dynamic sensor, Energy consumption characteristics, Energy saving, Fuzzy rule-based system, Network status, Save energy, Selection method, Sensor node, Wireless Sensor networks, adaptive selection, based filtering