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Abstract
In this thesis, a system based on a WSN to monitor the radiation level around and inside a nuclear power plant is designed and investigated using the Castalia Simulator. A new approach for validating the sensor reading and detecting a new event is proposed. The fault detection algorithm is applied at the cluster-head, and is based on the idea that the sensor data tends to be correlated in both time and space By using the idea of Triple Modular Redundancy, three reference sensor nodes are used in each cluster. We use the two out of three voting mechanism to select a good sensor as a reference for checking the correctness of other sensors in the same cluster. The event detection algorithm is applied at the sink node and exploits the historical data maintained at the sink node. The simulation results show that the proposed fault detection algorithm outperforms other existing algorithms in terms of fault detection accuracy/ false alarm rate, number of received/ sent messages per node, fault detection processing time, and energy consumed