Optimization approach on mission-critical situation detection in distributed sensor networks

The design of the control systems for sensor networks presents important challenges. One aspect regarding large sensor networks represents the processes of monitoring the evolution in time of any sensor from the network and finding every critical or faulty situation which can affect the stability and functionality of the entire distributed sensors network. All these faulty or critical situations from the system are called in this study"mission-critical". In this paper we present one method to detect a possible "mission-critical" situation in a complex, sensor-based distributed control system. In order to fulfill this goal we optimize the sampling rate of some sensors for common distributed network system parameters for easily finding the moments which can be critical for the entire system.

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