HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A dynamic en-route scheme for filtering false data injection in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
A probabilistic voting-based filtering scheme in wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
A weight-based clustering multicast routing protocol for mobile ad hoc networks
International Journal of Internet Protocol Technology
Key inheritance-based false data filtering scheme in wireless sensor networks
ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Statistical en-route filtering of injected false data in sensor networks
IEEE Journal on Selected Areas in Communications
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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.