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        1 - Reliability Investigation with the New Architecture of the Backup Node Markov Model with a Better Repair and Replacement Rate and More Monitoring in Avoiding the Failure of Industrial Wireless Sensor Networks
        Ahmadreza Zamani Mohammad Ali Pourmina Ramin  Shaghaghi Kandovan
        Sensor nodes are prone to failure due to the various applications of operating environments. This paper presents a new architecture with a Markov model to improve reliability. In the modification of the previous ideas, due to work fatigue, energy consumption and high ma More
        Sensor nodes are prone to failure due to the various applications of operating environments. This paper presents a new architecture with a Markov model to improve reliability. In the modification of the previous ideas, due to work fatigue, energy consumption and high maintenance costs, the idea of increasing the repair and replacement rate to avoid failure with the availability of replacement nodes with detailed planning of the support unit.The advantages of this method are reducing the failure rate, increasing reliability, fast implementation and deployment, energy efficiency and economic savings, improving the performance and useful life of the network, reducing delay and system rejuvenation and dynamics.The structure of the proposed method is by using the sleep and wake mode of the hot or cold standby node in such a way that the spare node is placed parallel to the main node and if one or both nodes are damaged, the system is reversible and. the damage can be repaired or replaced. The technique of idle time and the availability of the backup spare sensor play an important role in reducing energy consumption. The experts of the support unit perform the configuration settings so that the equipment goes to sleep or standby mode during idle time. And if one or two nodes are damaged, first the healthy spare¬node is awake and in service, and then the damaged node is repaired and replaced and placed in standby or sleep mode. The results of the innovation, we can mention the emphasis on node health monitoring, failure avoidance, improving repair and replacement rates and efficiency. The simulation results show a better improvement compared to the previous models. Manuscript profile