MATHEMATICAL MODEL AND METHOD OF MAINTAINING CONNECTIVITY IN A MOBILE NETWORK WITH DIRECTED ACTION SENSORS USING TELECOMMUNICATION AERIAL PLATFORMS AT DIFFERENT LOCATION LEVELS

Background. In conditions of modern and forecasted natural and man-made emergencies, mobile sensor networks (MSNs) with telecommunication aerial platforms (TAPs) for effective functioning need to have an energy reserve almost an order of magnitude larger than the current energy reserve. Moreover, existing networks of this type have an unacceptably high delay for information transmission, a low speed of its transmission from node to endpoint, and require the use of an extremely large number of telecommunication aerial platforms to maintain continuous connectivity. Objective. Delay reduction, end-to-end information transmission speed enhancement, and a decrease in the number of TAPs in a mobile sensor network with TAPs, while operating in an emergency zone, where there is no telecommunications infrastructure. Methods. Analysis of literature and modern research related to the topic of ways to improve and evaluate the effectiveness of mobile sensor networks with telecommunication aerial platforms. Identification of strategies and tools employed by researchers in the creation of mathematical models and methods. Development of a mathematical model that allows modelling both the conditions of existence and absence of connectivity for a mobile-directed action sensor network (MDASN) with TAP at different location levels and energy support, and that computes the numerical values of the vector-criterion components used for quantitative appraisal of the effectiveness of this connectivity. Development of maintaining a MDASN connectivity method using TAP at different location levels that solves the stated multi-criteria problem. Results. A significant scientific and technical problem was solved regarding the development of a mathematical model and method of using directed action sensors as part of a mobile sensor network using a two-level spatial arrangement of telecommunication aerial platforms with different energy support to maintain this type of connectivity, which allows achieving a reduction in the average delay time during information transmission and telecommunication aero-platforms quantity directly involved in each information transmission session while increasing the average end-to-end information transmission speed. Conclusions. Based on the obtained results, it can be stated that using the developed mathematical model enables simulation modelling in Matlab computer mathematics system, and method can be used in an expert modelling decision-making system for managing search-and-rescue robots.