Ad Hoc sensor network with mobile network nodes is considered. The basic parameters of the bandwidth and quality of the data exchange channel constructed on the sensor network are analyzed. Statistical analysis of network service quality uses a parameter based on Mean Opinion Score (MOS). This parameter takes into account characteristics such as jitter, delay time, and packet loss rate, and allows you to quantify call quality for calls in the range of 1.0 to 5.0. At the stage of designing the sensor network and in the process of its development, the task of choosing a routing algorithm is very important. To solve the problem of optimal routing in the sensor network a partial mathematical model of the network, consisting of N switching nodes and M lines of wireless communication, has been developed. The average time for messages to remain in the line between two network nodes is determined. To improve methods and algorithms for routing in sensory networks, a generalized mathematical model of the routing process in complex networks and methodology has been developed to select the best route or a set of best routes by a set of criteria.For the most complete comparative evaluation of the effectiveness of a route, it is advisable to consider the route metric ‒ the generalized distance selected for the selected service class and the administrative distance ‒ the route parameter by which the degree of confidence in information received from neighboring devices is determined. It is shown that for optimal organization of data flows in a heterogeneous network it is advisable to use routing algorithms with many quality criteria. To do this, you must conduct an ongoing analysis of the characteristics of the network segments and automatically modify the routing tables. The basis of quality functionality is the route metric. In order to increase the reliability of the data on the state of the route, a quantitative (functional) measure of the administrative distance was introduced into the mathematical model. As a tool for evaluating and managing criteria by their relative importance, it is proposed to use the method of analysis of the Saati hierarchy.
