This article defines the terms "remote underconstruction facility" and "hazardous under-construction facility". The up-to-date sci-tech problem of provision for efficient communication at remote and hazardous construction facilities is stated. The suitability of usage of mobile ad hoc networks is proved in this article as well.
The article is aimed at data transmission efficiency increase in a mobile ad hoc network, functioning to ensure the exchange of information in emergency situations. The algorithm for neuro-fuzzy control of data sending intensity in this network is proposed. The algorithm provides the measurement of latency period confirmation and the calculation of a moving average of this value, as well as a periodic recalculation of an inter-packet gap by performing neuro-fuzzy inference procedure. By using the algorithm an adaptive change of data sending intensity is provided in the framework of the established logical connection. Simulation experiments showed that the use of the proposed algorithm reduces the number of retransmissions and the average transmission time of data streams in a test network. Keywords: mobile ad hoc network, emergencies, the intensity of data sending, algorithm. dynamically changing topology (random processes of movement, destruction, addition, the turning on and turning off of nodes). Mobile ad hoc networks (MANET) have the specified abilities [1-3].
The article is devoted to solving an urgent scientific and technical problem. It consists of developing an algorithm. This is used for estimating the recommended buffer size of requests of transmitting data streams. So, this has been done in a flying self-organizing network. Therefore, it is used to ensure geoecological monitoring of the resources of the agro-industrial complex. However, Studies have shown that to ensure the required quality of data streams transmission. Thus, it is advisable to carry out preliminary reservation of channel performance. Hence, it is possible to increase the likelihood of servicing requests of the transmission of data streams, as well as to increase the load of network channels by buffering incoming requests of the transmission of data streams. So, the developed algorithm makes it possible to substantiate the decisionmaking to increase the channel load and ensure an acceptable delay in the start of data streams transmission. Therefore, it has been done in a flying self-organizing network. Hence, the studies carried out the correctness of the algorithm and the expediency of its application. However, in practice the process of tuning the channels of a flying self-organizing network has been carried.
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