Prediction of energy consumption for LoRa based wireless sensors network
Authors:
- Madiyar Nurgaliyev,
- Ahmet Saymbetov,
- Yevhen Yashchyshyn,
- Nurzhigit Kuttybay,
- Didar Tukymbekov
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.
- Record ID
- WUTe4697090e47b4fa99f679329fb19d2e1
- Author
- Journal series
- Wireless Networks, ISSN 1022-0038, e-ISSN 1572-8196
- Issue year
- 2020
- Vol
- 26
- No
- 5
- Pages
- 3507-3520
- Publication size in sheets
- 0.65
- ASJC Classification
- ; ;
- DOI
- DOI:10.1007/s11276-020-02276-5 Opening in a new tab
- Language
- (en) English
- License
- Score (nominal)
- 70
- Score source
- journalList
- Score
- = 70.0, 07-05-2022, ArticleFromJournal
- Publication indicators
- = 14; = 3; = 3; : 2017 = 1.021; : 2020 (2 years) = 2.602 - 2020 (5 years) =2.518
- Citation count
- 29
Share
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUTe4697090e47b4fa99f679329fb19d2e1/
- URN
urn:pw-repo:WUTe4697090e47b4fa99f679329fb19d2e1
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.