Investigation of the positioning accuracy of wireless sensor networks

DOI: 10.31673/2412-9070.2022.062831

Abstract

The creation of large-scale wireless sensor networks with a large number of cheap and energy-intensive sensors is associated with advances in miniaturisation and integration of sensor and communication technologies. In wireless sensor networks, hundreds or even thousands of tiny nodes equipped with batteries are scattered over the study area. Each node collects information. The nodes transmit the collected information to neighbouring nodes and then to a specified destination where the data is processed. This data is used to describe the neighbourhood in real time. Over the past decades, we have seen the rise of the Internet, which provides us with the ability to transmit various types of information and this is revolutionising business, manufacturing, science, education and our way of life. Wireless sensor networks have replaced standard computer networks. They were envisaged as a preventive computer world in which networked nodes automatically receive information about the environment in real-time. The modern telecommunications market offers a wide range of wireless sensor network technologies, with hundreds of companies offering their solutions. The capabilities of modern microelectronics and wireless networking technologies open up great prospects for creating various network complexes with a wide range of applications. This study examines the concept of the Internet of Things, the technological basis of which in its applications is wireless sensor networks, meaning, first of all, a fundamental change in the quantitative characteristics of the network. The author describes the main problems of designing sensor networks, algorithms for determining the location of sensor network devices, and investigates the positioning accuracy with a different number of reference nodes. A computational experiment was chosen as a research method. The analysis will help to improve the efficiency of wireless sensor network management and rational use of its resources.

Keywords: wireless sensor network; sensor; positioning; mobile node; indoor navigation.

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