Kilmeninov O. Models and methods to improve the quality of functioning of distributed sensor networks based on an assessment of their parameters

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0416U000544

Applicant for

Specialization

  • 05.12.02 - Телекомунікаційні системи та мережі

02-03-2016

Specialized Academic Board

Д 26.861.01

State University of Telecommunications

Essay

The thesis on the degree of Candidate of Engineering Sciences, specialty 05.12.02 - Telecommunication systems and networks. - State University of Telecommunications, Kyiv, 2016. This thesis is aimed at finding the solution to several scientific and technical issues related to the development of methods for synthesizing functionally stable structures for distributed sensor networks. The document analyzes several main tasks of modern evolutionary transition from current telecommunications networks to next generation telecommunications networks, including sensor networks. This work improves the state of the art of general synthesis methods for the organization of sensor networks, using problem solving via discrete optimization with Boolean variables based on a truncated enumeration algorithm. A method has been developed for the partial synthesis of the structure of sensor networks based on the introduction, in existing network structures, of communicational adjustments according to the criterion of maximum probability applied to the gain in network structure connectivity; this allows to maximize the rate of functional stability of the sensor network. The author has proposed a mathematical model of the sensor network, based on a quadratic programming formulation. The author has also developed a model for the sensor network using the mechanism of adaptation during routing process in quasi real-time conditions. This work estimates the functional stability of the sensor network structure taking into account the principle of self organization. The results of the research allow to solve problems in the area of quality-of-service improvements in distributed sensor networks.

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