Description: With the development of modern devices and information technology, in particular wireless autonomous sensors, the pref-erence is given to minimizing the hardware component, resulting in an increase in the cost of production. In turn, reducing the size of the device significantly affects the size of the battery, resulting in a change in the use of the sensor, as a rule, reduction. Also, the manufacture of sensors with variable power elements or with the possibility of restoring energy reserves is unprofitable for the manufacturer. The development of such systems results in high energy consumption by modern wireless devices. The task of engineers is to reduce power consumption by changing the components of the sensors or applying other approaches, such as switching to specialized information systems, which saves energy consumption, which in turn extends the use of sensors. Conse-quently, the creation of new and improved existing sensor technology information technology will increase the life of the devices and, consequently, reduce costs. The purpose of the work is to increase the use of sensors by applying energy efficiency optimiza-tion, the creation of appropriate information technology and application software to solve the problem, research and analysis of the results. The paper proposes an approach that allows increasing the time of operation of sensors by reducing the power of work. In turn, the power of the sensor depends on the amount of energy that it uses. The influence of the power of the sensor on the area of the sensor area is described. Reducing the use of energy is achieved by reducing the coverage area when crossing in a minimum area with another sensor in the coverage area. The corresponding relationship between the coverage area and the amount of energy used per unit time is given. To solve this problem, a mathematical model was proposed in the form of an opti-mization problem of linear programming. Taking into account the specifics of the proposed model, we describe a step-by-step algorithm for solving a given problem. Using the proposed algorithm, a series of experiments was conducted in the form of com-puter simulation. Described and analyzed the obtained results confirming the effectiveness of the proposed information technol-ogy. Further development of this study will be carried out in the direction of improving the proposed algorithm and improving the mathematical model for more accurate results. It will also consider the use of this information technology for different types and the assignment of sensors in various industries. The results of the study can be used both in the environmental sphere and in the technical sphere.
Keywords: sensors, coverage area, increase of energy efficiency, information technology, optimization.