Selective Sensor Node Selection Method for Making Suitable Cluster in Filtering-Based Sensor Networks

Abstract

Sensor nodes, that have a limited battery power, are deployed in open and unattended environments in many sensor network applications. An adversary can compromise the deployed sensor nodes and easily inject fabricated reports into the sensor network through the compromised nodes. Filtering-based secure methods have been proposed to detect and drop the injected fabricated reports. In this scheme, the number of key partitions is important, since a correct report should have to an efficient number of different message authentication codes made by each difference key partition. We propose a selective sensor node selection method to create suitable clusters and enhance the detection power of the filtering scheme. We use a fuzzy system to enhance cluster fitness. The proposed method demonstrates sufficient resilience and energy efficiency based on the simulation results.

This research was supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Advancement). (IITA-2008-C1090-0801-0028).