Архітектура адаптивної бездротової локальної мережі для управління об'єктами і пристроями

Abstract

The purpose of the article is to develop an adaptive wireless LAN architecture for the technological processes, robotic devices and other objects control. The article describes the wireless LAN architecture. The concept of a wireless LAN is described. The wireless network is adaptive, self-organizing, and able to operate autonomously. The presented wireless network node controller architecture is the basis for many objects and Smart home control system small systems without using MQTT servers. The nodes of the network nodes interaction is carried out using several transceivers. The use of multiple transceivers made it possible to distribute data traffic, configuration traffic, and control 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 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 many objects. The network is capable of building packet retransmission chains for remote network objects. Thus, the wireless network implementation at its low cost allows solving a certain range of tasks. The performer can be either a separate object associated with the operator through a many repeaters. In order to increase the efficiency of the formation of routing tables and minimize the cluster structures in a wireless network, it is advisable to use optimization algorithms based on set theory. The local wireless network is designed to control an Internet of Things objects, robotic objects and control systems for various technological processes.