Name
Abstract | ||
|---|---|---|
This paper shows a method for predicting the lifetime of a wireless sensor network based on the LoRa Ra-01 wireless modules. To develop a prediction model of the energy consumption, wireless sensor modules were assembled and it was obtained experimental data using LabView development environment. There were performed experiments to get battery discharge curve. Experimental data of power consumption depending on the packet length were obtained in transmission mode. Using experimental data, we obtained dependencies of system lifetime on sleep mode duration and packet length. The paper also considered a probabilistic approach to predict the system lifetime depending on the probability of data transmission during the day. The lifetime prediction model is based on Markov’s chains. The results obtained in this work can be used to predict lifetime of sensor networks more accurately. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11276-020-02276-5 | Wireless Networks |
Keywords | DocType | Volume |
Wireless sensor networks, Lifetime, LoRa technology, Markov’s chains, Energy efficiency of sensor networks | Journal | 26 |
Issue | ISSN | Citations |
5 | 1022-0038 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Madiyar Nurgaliyev | 1 | 0 | 0.34 |
| Ahmet Saymbetov | 2 | 0 | 0.34 |
| Yevhen Yashchyshyn | 3 | 1 | 2.37 |
| Nurzhigit Kuttybay | 4 | 0 | 0.34 |
| Didar Tukymbekov | 5 | 0 | 0.34 |