Calculation of energy costs of wireless sensor networks using the example of the oil and gas industry

D. Maslova, T. Astakhova, M. Kolbanev, A. Berdnikova


This article proposes an analytical model that can be applied in most industries. The oil and gas industry was chosen as an example. The paper considers the application areas of wireless sensor networks in the oil and gas industry. The distinctive features and disadvantages of the types of wireless sensor networks used in the oil and gas industry are noted: terrestrial, underground, underwater, multimedia and mobile wireless sensor networks. The main problem of wireless sensor networks is formulated – energy consumption. A spatial-energy model of a wireless sensor network has been obtained, which allows calculating the power consumption of the network taking into account signal attenuation. The analysis of the dependence of power consumption showed that when modeling wireless sensor networks on surfaces with buildings or irregularities, the median signal attenuation should be taken into account for the accuracy of the predicted data.


Full Text:

PDF (Russian)


Mikheev M.Yu., Digital transformation of agriculture towards INDUSTRY 4.0 / Volkov A.G., Mikheev M.Yu. // XXI century: the results of the past and the problems of the present plus. 2022. Vol. 11. No. 2 (58). pp. 32-37.

Pavlov A.M., Pozhidaeva I. A. Energy efficiency assessment of heterogeneous data aggregation in wireless sensor networks //Economy. Computer science. – 2021. – vol. 48. – No. 1. – pp. 156-167.

Tatarnikova T. M., Bimbetov F., Gorina E. V. Addition to the clustering algorithm of a wireless sensor network //Software products and systems. - 2022. – Vol. 35. – No. 2. – pp. 222-228.

Tsybulya, S. D. Estimation of forecasting the level of a mobile terrestrial radio signal in various propagation conditions / S. D. Tsybulya, I. N. Zaitseva, N. A. Fortunova // . – 2021. – № 11-4. – S. 360-368.

Uolles R. Maksimal'naya dal'nost' svyazi po radiokanalu v sisteme: kak etogo dobit'sya? [Maximum radio communication range in the system: how to achieve this?], Novosti elektroniki [News of electronics], 2015, No. 11, pp. 3–13.]

Pavlov, A.M. The influence of aggregation of quasi-stationary measurement data of sensor nodes on the bandwidth and power consumption of a wireless sensor network / A.M. Pavlov // Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Series: Management, Computer engineering, computer science. Medical instrumentation. - 2022. – Vol. 12, No. 1. – pp. 54-64. – DOI 10.21869/2223-1536-2022-12-1-54-64.

Pavlova Z.H., Baltin R.R., Krasnov A.N., Maisky R.A. On the main aspects of designing wireless networks for parametric monitoring of remote objects // MNIZH. 2016. No.12-3 (54). URL: (date of reference: 03/21/2023)

Andreev S. A., Vorobyov V. A., Matveev A. I. Reduction of energy consumption by telemetry systems for agricultural purposes //Agroengineering. – 2019. – №. 1 (89). – Pp. 60-65

Astakhova T. N., Verzun N. A., Kolbanev M. O., Polyanskaya N. A., Shamin A. A. Probabilistic and energy characteristics of the interaction of smart things //Bulletin of the NGIEI. 2019. №. 4 (95)

Verzun N. A. et al. Assessment of the energy characteristics of multiple access in terrestri


  • There are currently no refbacks.

Abava  Кибербезопасность MoNeTec 2024

ISSN: 2307-8162