Analysis of the environment influence on the efficiency of the information processing algorithm in wireless sensor networks


Cite item

Full Text

Abstract

In this work, the synthesis and analysis of the algorithm that makes a decision on the presence or absence of the observed object using the spatially distributed sensors of wireless sensor networks are executed. The peculiarities of the influence of the external environment on the functioning of local sensors on the example of sound and vibration sensors are shown. With the purpose of determine the degree of influence of the environment on the efficiency of functioning of the system, theoretical formulas for the decision-making efficiency indicators are obtained. The dependences of the total error probability on the energy parameter taking into account the attenuation in the environment are presented. The main types of propagation environment were considered. Analysis of the results is executed and the degree of influence of the environment on the quality of functioning of the wireless sensor system is evaluated. Herewith it was shown that its efficiency, despite its possible significant deterioration due to strong absorption by the propagation environment, can be increased on account of increasing the number of sensors used.

About the authors

Vladimir I. Parfenov 

Voronezh State University

Author for correspondence.
Email: vip@phys.vsu.ru

Van Dong Le 

Voronezh State University

Email: levandongx93@gmail.com

References

  1. Urmanov D.M., Boldova O.I. Wireless sensor systems to ensure the safety of moving and stationary objects. Elektronika: nauka, tehnologija, biznes, 2013, no. 3 (125), pp. 128–134. (In Russ.)Al-Turjman F. Wireless Sensor Networks: Deployment Strategies for Outdoor Monitoring. Boca Raton: CRC Press, 2018, 222 p.Hayes T., Ali F.H. Mobile Wireless Sensor Networks: Applications and Routing Protocols. Handbook of Research on Next Generation Mobile Communications Systems. Pennsylvania: IGI Global, 2016, pp. 256–292. DOI: https://doi.org/10.4018/978-1-4666-8732-5.Thomopoulos S.C.A., Viswanathan R., Bougoulias D.C. Optimal decision fusion in multiple sensor systems. IEEE Transactions on Aerospace and Electronic Systems, 1987, vol. AES-23, no. 5, pp. 644–653. DOI: https://doi.org/10.1109/TAES.1987.310858.Chair Z., Varshney P.K. Optimal data fusion in multiple sensor detection systems. IEEE Transactions on Aerospace and Electronic Systems, 1986, vol. AES-22, no. 1, pp. 98–101. DOI: https://doi.org/10.1109/TAES.1986.310699.Varshney P.K. Distributed Detection and Data Fusion. New York: Springer, 1997, 276 p.Parfenov V.I., Le V.D. Algorithms for integrating information in wireless sensor networks, taking into account the probability of sensor failure. Radiotehnika, 2019, no. 12 (19), pp. 53–59. DOI: https://doi.org/10.18127/j00338486-201912(19)-06. (In Russ.)Parfenov V.I., Le V.D. The optimal algorithm for integrating information in wireless sensor networks, taking into account the influence of interference in the radio channel. Telekommunikatsii, 2020, no. 2, pp. 12–17. URL: http://www.nait.ru/journals/number.php?p_number_id=3034. (In Russ.)Bergman L. Ultrasound and Its Use in Science and Technology. Trans. from German. Moscow: Izd-vo inostr. lit., 1957, 726 p. (In Russ.)Ivanov N.I. Engineering Acoustics. Theory and Practice of Noise Control. Moscow: Logos, 2013, 432 p. (In Russ.)

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2020 Parfenov  V., Le  V.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ФС 77 - 68199 от 27.12.2016.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies