Influence of the Quasi-Stationary Measurement Data Aggregation in Sensor Nodes on the Throughput and Power Consumption of the Wireless Sensor Network

Purpose of research. Wireless sensor networks are promising direction in the telemetric monitoring field of industrial objects. The most important limitation in their design and deployment is the amount of transmitted information via wireless communication channels. Various methods are used to reduce it. One of them is the method of the quasistationary measurement data aggregation in sensor nodes. This article is devoted to the current issue of the influence of the quasi-stationary measurement data aggregation in sensor nodes on the amount of transmitted information and the total power consumption of a wireless sensor network. The aim of the study is to evaluate the changes in the amount of transmitted information via wireless communication channels and energy gain obtained from the quasistationary measurement data aggregation in sensor nodes.

Methods. For a theoretical and practical assessment of the influence of the quasi-stationary measurement data aggregation in sensor nodes on the amount of transmitted information via wireless communication channels and the total energy consumption of a wireless sensor network, the methods of expert analysis, statistical assessments theory, decision-making information theory, rapid prototyping online service "Circuito.io" and the integrated development environment "Arduino IDE" were used.

Results. The assessment of the influence of the quasi-stationary measurement data aggregation in sensor nodes on the amount of transmitted information and power consumption of a wireless sensor network is carried out, the character of relation between main aggregation values was defined.

Conclusion. In the research the assessment of the influence of the quasi-stationary measurement data aggregation in sensor nodes on the changes of transmitted information via wireless communication channels and energy gain is carried out. In the experiment the basic measuring data amount was reduced on 9,8-18,7% and the decrease in energy consumption was the 7-15%.

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