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The modern weapons key features are: autonomy, precision, long arm (range more than 2000 km). Such AUAV (Autonomous Unmanned Aerial Vehicles) are quite expensive. The traditional way of delivering a payload is a priori programming each AUAV to the concrete OI (Object of Interest). Since the probability of successful payload delivery is usually about 0.8 or less, then to increase the successful solution probability to the problem posed, the method of launching two or more AUAVs at one OI is used. Thus, a method that minimizes the cost of a solution, i.e. minimizes the AUAV squad, while maintaining a given probability of completing a flight task is of obvious economic interest. A flock of AUAVs can exchange data before the payload delivery, before the final guidance stage, distribute the available AUAVs to the OI to maximize the total task efficiency. To solve the problem of AUAV reprogramming, a method of AUAV data exchange in the synchronization zone is proposed. The geometrical parameters of the zone, the possibility of radio communication with the required exchange rate, and the speed of the synchronization algorithms have been determined. The program exchange parameters are determined and one of the possible Raft algorithms is selected for solving consensus problems in the unreliable computations network.

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