Knowledge Based System for Reliable Perimeter Protection Using Sensor Networks

Document Type

Conference Proceeding


Faculty of Computing, Health and Science


School of Engineering




Volosencu, C., Curiac, D. I., Banias, O., Doboli, A., & Dranga, O. (2007). Knowledge based system for reliable perimeter protection using sensor networks. WINSYS 2007 Proceedings of the International Conference on Wireless Information Networks and Systems.


This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.

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