Biblio
Filters: Author is Sebestyén, Gergely [Clear All Filters]
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2022. Battery Life Prediction Model of Sensor Nodes using Merged Data Collecting methods. 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI). :000031—000034.
The aim of this paper is to describe the battery lifetime estimation and energy consumption model of the sensor nodes in TDMA wireless mesh sensor using merged data collecting (MDC) methods based on lithium thionyl chloride batteries. Defining the energy consumption of the nodes in wireless mesh networks is crucial for battery lifetime estimation. In this paper, we describe the timing, energy consumption, and battery lifetime estimation of the MDC method in the TDMA mesh sensor networks using flooding routing. For the battery life estimation, we made a semiempirical model that describes the energy consumption of the nodes with a real battery model. In this model, the low-level constraints are based on the measured energy consumption of the sensor nodes in different operation phases.
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2022. Energy Consumption Model of Sensor Nodes using Merged Data Collecting Methods. 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI). :000027—000030.
This paper presents an energy consumption model of the sensor nodes in TDMA wireless mesh sensor network using merged data collecting (MDC) methods. Defining the energy consumption of the nodes in wireless mesh networks is crucial for battery lifetime estimation. In this paper, we describe the semiempirical model of the energy consumption of MDC method in the TDMA mesh sensor networks using flooding routing. In the model the low-level constraints are based on the measured energy consumption of the sensor nodes in the different operation phases.