Abstract

The purpose of the article is to develop an adaptive mobile network node architecture with an amorphous topology. The article describes the host controller architecture. The concept of a mobile network is described. The mobile network is adaptive, self-organizing, and able to operate autonomously. The presented mobile network node controller architecture is the object swarm control system basis. A stack of mobile network protocols is presented, consisting of a control protocol, a data exchange protocol and a configuration protocol. The nodes of the network controllers interaction is carried out using several transceivers. The use of multiple transceivers made it possible to distribute data traffic, configuration traffic, and management traffic over different channels, which made it possible to carry out information exchange at the same time. The protocol stack is minimized. The functionality of the host and the network object (swarm) is completely separated. The topology of the mobile network is not deterministic, amorphous and changes when the network objects move in space. In this case, some connections are lost and others arise. The routing tables are constantly updated. The network in accordance with the laid down algorithm, is able to build the necessary topology and organize the necessary connections in order to complete the task with a swarm of objects. The network is capable of building packet retransmission chains for remote network objects. Thus, the implementation of a mobile network at its low cost allows solving a certain range of problems. The performer can be either a separate object associated with the operator through a swarm of repeaters, or a swarm of objects. In order to increase the efficiency of the formation of routing tables and minimize the cluster structures in a mobile network, it is advisable to use optimization algorithms based on set theory. The mobile network is designed to control a swarm of objects, which can be UAVs, robotic objects and control systems for various technological processes.

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