DOI: https://doi.org/10.15407/pp2021.04.062

Information technology to ensure the survivability of sensor networks

V.Y. Petrivskyi, V.L. Shevchenko, O.S. Bychkov, I.P. Sinitsyn

Abstract


In the modern technological world, sensors and sensor networks are widely used in the all spheres of human activity. One of the key engineering tasks in the design of sensor networks is to ensure the survivability of the network. The article presents algorithms for ensuring the survivability of sensor networks based on a preliminary assessment of this property. Estimation of survivability depends on the network topology. Increasing the survivability of the sensor network is achieved by including additional sensors in the network. An algorithm for finding the position of additional sensors in the stationary sensor network is proposed. Proposed approach takes into account the radius of coverage of the sensors and the need for the intersection of the coverage areas of the sensors to ensure the exchange of information. An iterative algorithm for ensuring the survivability of the network in the presence and consideration of dynamic sensors is presented. The results of computer simulation experiments presented in the paper confirm the effectiveness of the proposed approaches.

Problems in programming 2021; 4: 62-69


Keywords


sensors; sensor networks; survivability of sensor network; information technology

Full Text:

PDF (Ukrainian)

References


French P.J. Smart Sensors: Advantages and Pitfalls. Technologies for Micro/Nano- Devices, Sensors and Actuators. 2018.

Rahman A. Assignment on Tempera ture Sensors. 2018. DOI: 10.13140/ RG.2.2.16747.23844.

Sparks D. MEMS pressure and flow sensors for automotive engine management and aerospace applications. MEMS for Automotive and Aerospace Applications. 2013. P. 78-105.

https://doi.org/10.1533/9780857096487.1.78

Panayotova G., Dimitrov G. and Dimitrov D. Wireless Sensors for analysis transport systems. 10th International Conference on Computer Science and Information Technology. 2017.

https://doi.org/10.12720/jcm.13.1.40-44

Lercari N. Terrestrial Laser Scanning in the Age of Sensing. Digital Methods and Remote Sensing in Archaeology. 2016. P. 3-33.

https://doi.org/10.1007/978-3-319-40658-9_1

Teixeira T., Gershon D. A Survey of Human- Sensing: Methods for Detecting Presence, Count, Location, Track, and Identity. ACM Computing Surveys. 2010. №5. P. 59.

Abdul-Qawy A., Magesh E. and Tadisetty S. The Internet of Things (IoT): An Overview. Int. Journal of Engineering Research and Applications. 2015. P. 71-82.

Evans D. (2011). The Internet of Things How the Next Evolution of the Internet Is Changing Everything. Cisco Internet Business Solutions Group. Available from: https://www.cisco. com/c/dam/en_us/about/ac79/docs/innov/ IoT_IBSG_0411FINAL.pdf.

Prasanna S., Rao S. An Overview of Wireless Sensor Networks Applications and Security. International Journal of Soft Computing and Engineering. 2012. P. 538-540.

Panayotova G., Dimitrov G. Modeling and dataprocessing of information systems. Artificial Intelligence and Pattern Recognition (AIPR). 2016.

https://doi.org/10.1109/ICAIPR.2016.7585229

Zhu L., Zhang Z. and Xu C. Secure Data Aggregation in Wireless Sensor Networks. Secure and Privacy-Preserving Data Communication in Internet of Things. 2017.

https://doi.org/10.1007/978-981-10-3235-6

Kurt S., Tavli B. Path Loss Modeling for Wireless Sensor Networks: Review of Models and Comparative Evaluations. IEEE Antennas and Propagation Magazin. 2016.

https://doi.org/10.1109/MAP.2016.2630035

Alim Al Islam A., Hyder C., Kabir H. at all. (2014). Stable Sensor Network (SSN): A dynamic clustering technique for maximizing stability in wireless sensor networks. Wireless Sensor Network. №7. P. 538-554.

https://doi.org/10.4236/wsn.2010.27066

Farsi M., Elhosseini M. and Badawy M. Deployment Techniques in Wireless Sensor Networks, Coverage and Connectivity: A Survey. 2019.

https://doi.org/10.1109/ACCESS.2019.2902072

Maksimovic M., Milosevic V. Evaluating the optimal sensor placement for smoke detection. Yugoslav J. Oper. Res. 2016. №26. P. 33-50.

https://doi.org/10.2298/YJOR140312002M

Gupta K., Kulia P. and Jana P. Genetic algorithm for k-connected relay node placement in wireless sensor networks. Proc. 2nd Int. Conf. Comput. Commun. Technol. 2016. P. 721-729.

https://doi.org/10.1007/978-81-322-2517-1_69

Cormen T., Leiserson C., Rivest R. at all. (2009). Introduction to Algorithms.

Petrivskyi V., Dimitrov G., Shevchenko V. at all. (2020). Information Technology for Big Data Sensor Networks Stability Estimation. Information & Security: An International Journal 47. №. 1. P. 141-154.

https://doi.org/10.11610/isij.4710




DOI: https://doi.org/10.15407/pp2021.04.062

Refbacks

  • There are currently no refbacks.