METHODS OF MEASURING DISTANCES BETWEEN OBJECTS IN SENSOR NETWORKS USING DIGITAL FREQUENCY MEAN VALUES

Abstract

Relevance of the research topic. At the moment, wireless sensor networks are an important tool for exploring the physical world. Their importance is related to new uses, thanks to such characteristics as the lack of the need for cable infrastructure, miniature nodes, low power consumption, built-in radio interface, sufficiently high transmission power, relatively low cost. Therefore, there is a problem of creating new tools that would improve the effectiveness of their use, which would give an opportunity to expand the scope of their application. Formulation of the problem. In the process of developing such systems, developers have to solve the contradiction between the decrease in the accuracy of the distance measurement, the increasing range of the objects, the limited power of the transmitters, and the cost of special nodes that receive the exact coordinates from the satellite. The presence of these restrictions increases the probability of errors when localizing objects in wireless sensor networks. Analysis of recent research and publications. The latest publications were publicly available, including existing distance measurement algorithms and energy efficiency problems for transmitters. Isolation of previously unexplored parts of a common problem. Increase the accuracy of measuring the distance of means using existing distance measurement algorithms. Formulation of the problem. Improving the method of distance measurement by devices of wireless sensor networks, by using microprocessor frequency meters. Statement of the main material Localization of objects occurs using the TDOA (Time Difference of Arrival) method. The data obtained after using this method is sent to the microprocessor frequency meter, which determines the period between the phases of the signal, proportional to the value to the distance between objects. Conclusions in accordance with the article The proposed method makes it possible to improve the accuracy of the process of localizing objects in wireless sensor networks.

Authors and Affiliations

Andrey Dudnik

Keywords

Related Articles

FEATURES AND METHODS OF IMPLEMENTATION OF HIGH-SPEED VIDEO RECORDING

For revealing the features and methods of realization of high-speed video researches were investigated: optoelectronic converters, formation and transformation of electronic signals, requirements for lighting, modern dat...

ECONOMIC AND MATHEMATICAL MODELING OF FINANCIAL BUBBLES IN FINANCIAL MARKETS

This article explores the concept of a financial bubble, gives possible reasons for the abnormal growth in asset prices, and hence the formation of a financial bubble. The object of the study is pricing in the financial...

STUDY OF STUDENT LEARNING ACHIEVEMENT IN COMPUTER IN COURSE ON CREATING E -BOOK AND STUDENT SATISFACTION WITH THE "BIG 6 SKILLS MODEL" INSTRUCTION

The objective of this research was aimed to compare student learning achievement between using the instructional innovation on creating e-Book and classroom traditional learning pre-learning and post-learning, and to exa...

RELATIONS OF «UI» AND «UX» FROM AN OBJECTIVE POINT OF VIEW

The essence of concepts. Evaluation of the importance of each сoncept. Analysis of common mistakes and tips on «UI» and «UX».

METHODOLOGICAL PRINCIPLES OF FORMATION OF SOCIAL AND COMMUNICATIVE CULTURE OF STUDENTS FROM MEDICAL UNIVERSITY IN EXTRACURRICULAR TIME

Methodological principles of formation of socially communicative culture of students of medical universities in extracurricular time are studied. The program of a special course for students of higher medical universitie...

Download PDF file
  • EP ID EP610343
  • DOI 10.25313/2520-2057-2018-13-4031
  • Views 49
  • Downloads 0

How To Cite

Andrey Dudnik (2018). METHODS OF MEASURING DISTANCES BETWEEN OBJECTS IN SENSOR NETWORKS USING DIGITAL FREQUENCY MEAN VALUES. Международный научный журнал "Интернаука", 1(13), 45-49. https://europub.co.uk/articles/-A-610343