Title: Fuzzy Adaptive Selection of Votes in Probabilistic Filtering Scheme in WSNs

Author(s): Muhamad Akram1, *, Tae Ho Cho2


1Sungkyunkwan University, College of Information and Communication Engineering,

Suwon 16419, Republic of Korea

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*Corresponding Author

2Sungkyunkwan University, College of Software,

Suwon 16419, Republic of Korea

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Abstract

Wireless senor networks comprise of tiny nodes with limited energy and computational resources. Sensor networks are usually installed in unattended volatile environments where they are exposed to sever security attacks. Attackers can generate two main types of attacks i.e. injection of false reports and false MACs. PVFS is a singular en-route filtering scheme which counters both the attacks.  However, the number of MACs attached to each report is fixed in PVFS. In this paper, we propose a scheme that supports fuzzy adaptive choice of votes to be included in the  report before forwarding it to the base station in probabilistic voting based filtering scheme. The proposed method attains better energy saving when the attacks are not very hostile in terms of their frequency of occurrence, which helps extend network lifetime

 


License: This work is licensed under a Creative Commons Attribution 4.0 International License.

 

Website: http://www.ijecs.in

e-ISSN:  2319-724

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