In monitoring studies of recent years, global warming is reported. This is a significant problem for dairy farming in much of Europe, especially in the central and southern regions, as reported by numerous studies. Dairy cattle highly productive are extremely sensitive to hot temperatures; their consequence is health problems, a significant reduction in milk yield and milk quality. Unfortunately, heat stress remains an unrecognized problem for domestic cattle breeding, although the financial losses from its harmful influence in European are quite substantial. The aim of our work was to study the effect of high temperatures on milk yield of cows of Ukrainian Schwitz on one of the complexes of high-tech milk production. At the beginning of the research, we decided to test the hypothesis of increasing hot air temperatures in the warm period of the year compared with the long-term data. Then we studied how the milk of Schwitz breed varies during the hot season, depending on the magnitude of the maximum temperature values. According to the results of the study, it can be noted that the air temperature during the warm period of 2017 tended to increase (+0.6 ° С) in comparison with the long-term data. In August, the air temperature significantly exceeded the long-term data by +3 ° C (td = 2.89, P<0.05).The obtained results testify that in the conditions of the central region of Ukraine in the warm period of the year the probability of occurrence of heat stress in dairy cows is high. In the warm season of 2017, the period during which THI exceeded the comfortable value for dairy cows was 100 days. At the same time, a decrease in productivity per cow in the hot season may

deteriorate the quality of the wireless network. First, the determination of a clear boundary between the normal and abnormal behavior of the system leads to a large number of false signals. Second, they are not adaptive to changes in the network operation conditions. Third, these systems do not take into consideration the location of wireless users [4]. The problem of a clear boundary is solved by using fuzzy logic, and the problem of network adaptabilityby taking into consideration the parameters affecting the network state (time of day, day of the week, season (vacation / not vacation), interferences). But this model does not take into consideration the location of users either. This means that part of the attacks will be skipped or detected already after the attacker has reached his goal.In [5], the author explores the adaptability of positioning methods (recent developments provide positioning accuracy up to 1 meter [6]) in issues related to security. Using simulation modeling, the effectiveness of indoor positioning methods is proved. However, it should be noted that the studied methods are used only to provide access to networks with different security requirements. This means that the identification of the attacks themselves is carried out using classic detection systems that do not have a positioning service.