Technological systems are vulnerable to faults. In many fault situations, the system operation has to be stopped to avoid damage to machinery and humans. As a consequence, the detection and the handling of faults play an increasing role in modern technology, where many highly automated components interact in a complex way such that a fault in a single component may cause the malfunction of the whole system. This work introduces the main ideas of fault diagnosis and fault-tolerant control under the optics of various research work done in this area. It presents the Arduino technology in both hardware and software sides. The purpose of this paper is to propose a diagnostic algorithm based on this technology. A case study is proposed for this setting. Moreover, we explained and discussed the result of our algorithm.
Wireless sensor networks are appropriate monitoring tools used in surveillance applications. Organizations all over the world are realizing the effectiveness of protecting people, places and things with advanced video surveillance systems to increase safety. Wireless infrastructure allows them to deploy and extend video surveillance capability in virtually any indoor or outdoor environment. The network lifetime is directly related to the energy resources of the sensor nodes and can be extended by energy-aware protocols. The LIUPPA, France Laboratory has proposed a wireless video sensors model dedicated to intrusion detection surveillance application. Our aim is to extend this work by new algorithms that optimize the alert propagation message diffusion.The main idea of our algorithm is to reduce the flooding of the message alert by propagating them only for the list of the sensors located in the field of view (FOV) of the sensor alerted. This reduces considerably the effects of implosion. In this paper, we describe the WVSN model proposed by the LIUPPA. Moreover, we explained and discussed the result of our algorithm under Omnetpp/Castalia Simulator.
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