A Study of Ultra Low Power Internet of Things Networks for Open Field Smart Farms 


Vol. 48,  No. 12, pp. 1606-1615, Dec.  2023
10.7840/kics.2023.48.12.1606


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  Abstract

Wireless mesh networks are gradually expanding their applications enabling the Internet of Things for smart farms, smart homes, smart buildings, and smart cities. In these usage scenarios, the long lifetime of the wireless IoT network is very important, and the Bluetooth technology-based mesh network has a great advantage as a low-power wireless network operated by a battery. However, even in a low power Bluetooth mesh networks, energy consumption due to reception standby power is still significant, and efforts are being made to reduce this through asynchronous dynamic scanning. In this paper, we study energy consumption reduction in a Bluetooth mesh network to extend the lifetime of a wireless IoT network. Based on the asynchronous dynamic scanning protocol, we mathematically model the energy consumption of the network and derive the main network parameters that dominate the energy consumption. Our simulation results analyze the effect of the main network parameters on the power consumption of the network.

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[IEEE Style]

W. H. Kim, S. Choi, I. Sohn, "A Study of Ultra Low Power Internet of Things Networks for Open Field Smart Farms," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1606-1615, 2023. DOI: 10.7840/kics.2023.48.12.1606.

[ACM Style]

Woo Hyun Kim, Seung-Kyu Choi, and Illsoo Sohn. 2023. A Study of Ultra Low Power Internet of Things Networks for Open Field Smart Farms. The Journal of Korean Institute of Communications and Information Sciences, 48, 12, (2023), 1606-1615. DOI: 10.7840/kics.2023.48.12.1606.

[KICS Style]

Woo Hyun Kim, Seung-Kyu Choi, Illsoo Sohn, "A Study of Ultra Low Power Internet of Things Networks for Open Field Smart Farms," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1606-1615, 12. 2023. (https://doi.org/10.7840/kics.2023.48.12.1606)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880