Abstract
LoRa modulation is a narrowband, long-range wireless communication technology. At present, Sub-GHz LoRa is mainly used to build LoRaWAN and is applied to data collection of Internet of Things. However, the latest 2.4 GHz LoRa can be applied to point-to-point and self-organizing networks. In this paper, the impacts of bandwidth (BW) and spreading factor (SF) on the energy consumption is evaluated for the first time. In general, to reach the target transmission distance, a larger SF or a smaller BW can be selected to reduce transmitting power (but the ToA time will increase in this case), or the desired transmission distance can be achieved by increasing the transmitting power and keeping a smaller SF or a larger BW. obviously, both of them will increase the power consumption of transmission. We analyze which method is more energy-efficient by constructing an energy consumption model for LoRa communication. The energy model is suitable for the adaptive data rate (ADR) of LoRa and establishes the foundation for building low-energy node-to-node and Ad-hoc LoRa networks.
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References
LoRa Alliance incorporated: LoRaWAN Specification V1.0.2. LoRa Alliance incorporated, San Ramon (2016)
Semtech: SX1280/SX1281 Data Sheet Rev 2.0, February 2018. https://www.semtech.com/uploads/documents/DS_SX1280-1_V2.0.pdf
Sandoval, R.M., Garcia-Sanchez, A.-J., et al.: Optimizing and updating LoRa communication parameters: a machine learning approach. IEEE Trans. Netw. Serv. Manage. 16(3), 884–895 (2019)
Qin, Z., Liu, Y., et al.: Performance analysis of clustered LoRa networks. IEEE Trans. Veh. Technol. 68(8), 7616–7629 (2019)
Georgiou, O., Raza, U.: Low power wide area network analysis: can LoRa scale? IEEE Wirel. Commun. Lett. 6(2), 162–165 (2017)
Liando, J.C., Gamage, A., et al.: Known and unknown facts of LoRa: experiences from a large-scale measurement study. ACM Trans. Sens. Netw. 15(2), 1–35 (2019)
Mekki, K., Bajic, E., et al.: A comparative study of LPWAN technologies for large-scale IoT deployment. ICT Express 5(1), 1–7 (2019)
Su, B., Qin, Z., et al.: Energy efficient resource allocation for uplink LoRa networks. IEEE Trans. Commun. 68(8), 4960–4972 (2018)
Bouguera, T., Diouris, J.-F., et al.: Energy consumption modeling for communicating sensors using LoRa technology. In: IEEE Conference on Antenna Measurements and Applications, pp. 1–4. IEEE, Vasteras (2018)
Goldoni, E., Prando, L., Vizziello, A., et al.: Experimental data set analysis of RSSI‐based indoor and outdoor localization in LoRa networks. Internet Technol. Lett. 2(1), 1–6 (2017)
Zhang, X., Zhang, M., et al.: A low-power wide-area network information monitoring system by combining NB-IoT and LoRa. IEEE Internet Things J. 6(1), 590–598 (2019)
Madeo, D., Pozzebon, A., et al.: A low-cost unmanned surface vehicle for pervasive water quality monitoring. IEEE Trans. Instrum. Meas. 69(4), 1433–1444 (2020)
Wu, F., Wu, T., et al.: An Internet-of-Things (IoT) network system for connected safety and health monitoring applications. Sensors 19(1), 1–21 (2019)
de Castro Tomé, M., Nardelli, P.H.J., et al.: Long-range low-power wireless networks and sampling strategies in electricity metering. IEEE Trans. Ind. Electron. 66(2), 1629–1637 (2019)
Zhang, H.-S., Li, L., et al.: Development and test of manhole cover monitoring device using LoRa and accelerometer. IEEE Trans. Instrum. Meas. 98(5), 2570–2580 (2020)
Lin, S., Ying, Z., et al.: Design and implementation of location and activity monitoring system based on LoRa. Ksii Trans. Internet Inf. Syst. 13(4), 1812–1824 (2019)
Janssen, T., BniLam, N., et al.: LoRa 2.4 GHz communication link and range. Sensors 20(16), 1–12 (2020)
Andersen, F.R., Ballal, K.D., Petersen, M.N., Ruepp, S.: Ranging Capabilities of LoRa 2.4 GHz. In: 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pp. 1–5, June 2020
Texas Instruments Incorporated: CC2530 Data Sheet, February 2011. http://www.ti.com.cn/cn/lit/ds/symlink/cc2530.pdf
Semtech: SX1276-7-8-9 Data Sheet Rev 7.0, May 2020. https://www.semtech.com/uploads/documents/DS_SX1276_V7.0.pdf
Ayoub, W., Samhat, A.E., et al.: Internet of mobile things: overview of LoRaWAN, DASH7, and NB-IoT in LPWANs standards and supported mobility. IEEE Commun. Surv. Tutor. 21(2), 1561–1581 (2019)
Acknowledgement
This work was supported by the National Nature Science Foundation of China (Grant number: 61902167, 61871204, 61901207), the Nature Science Foundation of Fujian Province, China (Grant number: 2021J011015), Digit Fujian Internet-of-Things Laboratory of Environmental Monitoring Research Fund (Fujian Normal University) (Grant number: 202006). Educational Research Projects of Young and Middle-aged Teachers in Fujian Province (Grant number: JAT200432).
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Luo, H., Xiao, L., Wu, L., Ruan, Z., Lin, W. (2022). How to Select SF and BW for 2.4 GHz LoRa Ad-Hoc Communication: From Energy Consumption Perspective. In: Calafate, C.T., Chen, X., Wu, Y. (eds) Mobile Networks and Management. MONAMI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-94763-7_7
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DOI: https://doi.org/10.1007/978-3-030-94763-7_7
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