The mathematical model of multi-criterian optimization of the quality of service of sensor networks using the principle justice

DOI: 10.31673/2412-4338.2019.039097

Abstract

The development of a mathematical model of multicriteria optimization of the quality of sensor network service using the principle of equity, is entirely justified. On existing tools and methods of load management and network resources of sensor networks, decision-making is based on one indicator. This control is not ideal for wireless technology, because in this case, the problems associated with the presence of interference in communication lines, the fading of signals is added to the usual network problems specific to the wired and optical lines. Such phenomena must a clear choice not only of the appropriate noise immune structure of the signal and the level of radiation by their transmitting devices, but also the ways for adapting to the signal-interference situation, which is formed at a specific moment of time, the need for fragmentation of packets and change the speed of information transmission. The paper demonstrates the feasibility of applying the "fairness principle" to different modes of the touch network. The article analyzes several variants of the implementation of the principle of equity that can be used in sensor networks, namely: the maximum criterion of fairness, the criterion of proportional justice, the criterion of proportional justice with weights, the criterion of justice in the form of a minimum of potential delay.

Keywords: sensory network, criteria, noise immunity, monitoring, data.

References
1. Lysenko O.I. Valuiskyi S.V., Tachinina O.M., and Danylyuk S.L. “A Method of Control of Telecommunication Airsystems for the Wireless AD HOC Networks Optimization.” IEEE 3rd International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD): Proceedings (2015):182 – 185. Print.
2. Novikov V.I., and Volovyk V.A. “Delivery of slow traffic on the sensor network with self-organization.” Scientific Bulletin of the Academy of Municipal Administration. Collection of scientific works. Technique series,Vol.9 (2015): 136 – 141. Print.
3. Dovzhenko N. M. “Analysis of methods for increasing bandwidth sensory networks and ways to ensure the reliability of information.” Modern protection of information, 3 (35) (2018): 58-63. Print.
4. Dovzhenko N. M., Barabash O.V., and Koval M.O. “Development of mathematical model of dynamics of functioning of sensor networks.” Collection of scientific works of the Military Institute of the Taras Shevchenko National University of Kyiv, VIKNU, 58 (2017): 74-80. Print.
5. Kucheryavyiy E.A., Molchan S.A., and Kondratev V.V. “Principles of building sensors and wireless sensor networks.” Elektrosvyaz. 6 (2006). Print.
6. Goryaeva S.N. “Features of building sensor networks.” 2nd International Scientific Conference "Modern Information Systems. Challenges and Trends »: Conference Proceedings HNURE (2007): 145—146. Print.
7. Galeljuka I.B. “Simulation of wireless sensor networks.” Computers, networks, and systems systemy 14 (2015): 141 – 150. Print.