2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2022-8-3-0-33221AUTOMATION AND CONTROL<strong>ABOUT PLANNING THE ACTIVITY OF SENSOR NODES IN A WIRELESS SENSOR NETWORK</strong><strong>ABOUT PLANNING THE ACTIVITY OF SENSOR NODES IN A WIRELESS SENSOR NETWORK</strong>Al-ObaidiAmir Mohammed JasimAl-ObaidiAmir Mohammed Jasim1229004@bsu.edu.ru20238300

This article presents a new algorithm for optimizing the activity planning of sensor nodes in wireless sensor networks. The algorithm is based on the use of a trainable automaton, which allows you to determine the optimal number of active sensor nodes necessary to ensure control over all objects in a given area. The machine is trained using a wireless sensor network model, which allows you to take into account various network parameters, such as the density of distribution of nodes and objects, the size of the coverage area and other factors. The effectiveness of the proposed algorithm is evaluated by comparing its results with the results of other algorithms used for node activity planning. The results show that the proposed algorithm can significantly reduce the power consumption of the sensor network by reducing the number of active nodes, which in turn allows you to increase the battery life of the network and improve its performance. Thus, this algorithm can be used to optimize the operation of wireless sensor networks and increase their efficiency in conditions of changing environmental parameters and requirements for monitoring objects.

This article presents a new algorithm for optimizing the activity planning of sensor nodes in wireless sensor networks. The algorithm is based on the use of a trainable automaton, which allows you to determine the optimal number of active sensor nodes necessary to ensure control over all objects in a given area. The machine is trained using a wireless sensor network model, which allows you to take into account various network parameters, such as the density of distribution of nodes and objects, the size of the coverage area and other factors. The effectiveness of the proposed algorithm is evaluated by comparing its results with the results of other algorithms used for node activity planning. The results show that the proposed algorithm can significantly reduce the power consumption of the sensor network by reducing the number of active nodes, which in turn allows you to increase the battery life of the network and improve its performance. Thus, this algorithm can be used to optimize the operation of wireless sensor networks and increase their efficiency in conditions of changing environmental parameters and requirements for monitoring objects.

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