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).
1.   Majorov A. A., Materuhin A. V. Analiz sushchestvujushchih tehnologij obrabotki potokov prostranstvenno-vremennyh dannyh dlya sovremennyh informatsionno-izmeritel'nyh sistem. Izmeritel'naya tehnika, 2017, no. 4, pp. 31–34.
2.   Shahov V. V., Jurgenson A. N., Sokolova O. D. Jeffektivnyj metod generatsii sluchajnyh geometricheskih grafov dlya modelirovaniya besprovodnyh setej. Prikladnaya diskretnaya matematika, 2016, no. 4 (34), pp. 99–109. DOI: 10.17223/20710410/34/8.
3.   Duckham M., Zhong X., Toohey K. (2015) Challenges to using decentralized spatial algorithms in the field: the RISERnet geosensor network case study. SIGSPATIAL Special 7. Volume 2, pp. 14–21. DOI: 10.1145/2826686.2826690.
4.   Gandhi K. I. (2013) Energy-efficient optimal sub-sink selection for data collection in wireless sensor networks. Proceedings of IAM, Volume 2, no. 2, pp. 203–209.
5.   Karenos K., Kalogeraki V. (2010) Traffic management in sensor networks with a mobile sink. IEEE Trans. Parallel Distrib. Syst., no. 21, pp. 1515–1530.
6.   Kurs A., Moffatt R., Soljacic M. (2010) Simultaneous mid-range power transfer to multiple devices. Applied Physics Letters, Volume 044102 , no. 96, 4, p. DOI: 10.1063/1.3284651.
7.   Kwak D., Liu R., Kim D., Nath B., Iftode L. (2016) Seeing is believing: Sharing real-time visual traffic information via vehicular clouds. IEEE Access, no. 4, pp. 3617–3631. DOI: 10.1109/ACCESS.2016.2569585.
8.   Lin C., Zhou J., Guo C., Song H., Wu G., Obaidat M. S. (2018) TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks. IEEE Transactions on Mobile Computing, no. 17, pp. 211–224.
9.   Nittel S. (2009) A Survey of Geosensor Networks: Advances in Dynamic Environmental Monitoring. Sensors, Volume 7, no. 9 , pp. 5664–5678. DOI: 10.3390/s140100672.
10.   Sabor N., Sasaki S., Abo-Zahhad M., Ahmed S. M. (2017) A Comprehensive Survey on Hierarchical-Based Routing Protocols for Mobile Wireless Sensor Networks: Review, Taxonomy, and Future Directions. Wireless Communications and Mobile Computing, no. 5, pp. 1–23. DOI: 10.1155/2017/2818542.
11.   Taleb A. A., Alhmiedat T., Hassan O. A.-H., Turab N. M. (2013) A survey of sink mobility models for wireless sensor networks. Journal of Emerging Trends in Computing and Information Sciences, Volume 4, no. 9, pp. 679–687.
Materuhin A.V., 
Shakhov V.V., 
Sokolova O.D., 
(2018) Spatial-temporal data collection process models using mobile sinks. Geodesy and cartography = Geodezia i Kartografia, 79(12), pp. 22-28. (In Russian). DOI: 10.22389/0016-7126-2018-942-12-22-28