| Title | Energy Consumption Model of Sensor Nodes using Merged Data Collecting Methods |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kopják, József, Sebestyén, Gergely |
| Conference Name | 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI) |
| Keywords | battery life estimation, composability, energy consumption, flooding routing, FRC, IQRF, MDC, merged data collecting, Metrics, Phase measurement, pubcrawl, resilience, Resiliency, Routing, TDMA, time division multiple access, wireless mesh networks, wireless network energy consumption model, wireless networks, Wireless sensor networks |
| Abstract | 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. |
| DOI | 10.1109/SAMI54271.2022.9780791 |
| Citation Key | kopjak_energy_2022 |
Energy Consumption Model of Sensor Nodes using Merged Data Collecting Methods