1 Materuhin A.V.
2 Shakhov V.V.
3 Sokolova O.D.

Moscow State University of Geodesy and Cartography (MIIGAiK)


The Institute of Computational Mathematics and Mathematical Geophysics SB RAS

Optimization of energy consumption in geosensor networks is a very important factor in ensuring stability, since geosensors used for environmental monitoring have limited possibilities for recharging batteries. The article is a concise presentation of the research results in the area of increasing the energy consumption efficiency for the process of collecting spatio-temporal data with wireless geosensor networks. It is shown that in the currently used configurations of geosensor networks there is a predominant direction of the transmitted traffic, which leads to the fact that through the routing nodes that are close to the sinks, a much more traffic passes than through other network nodes. Thus, an imbalance of energy consumption arises in the network, which leads to a decrease in the autonomous operation time of the entire wireless geosensor networks. It is proposed to use the possible mobility of sinks as an optimization resource. A mathematical model for the analysis of the lifetime of a wireless geosensor network using mobile sinks is proposed. The model is analyzed from the point of view of optimization energy consumption by sensors. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.
The study was carried out as part of research projects No. 17-05-41156 (with financial support from the RFBR and RGO) and No. 17-47-540977 p_a (with the financial support of the RFBR and the government of the Novosibirsk Region).
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Materuhin A.V., 
Shakhov V.V., 
Sokolova O.D., 
(2018) Modeli protsessov sbora prostranstvenno-vremennyh dannyh s ispol'zovaniem mobil'nyh stokov [Spatial-temporal data collection process models using mobile sinks]. Geodesy and Cartography = Geodezija i kartografija, 79, 12, pp. 22-28. (In Russian). DOI: 10.22389/0016-7126-2018-942-12-22-28
Received: 30.10.2018
Accepted: 12.11.2018
Published: 20.01.2019


2018 December DOI:

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