TY - JOUR
T1 - A Study of Ultra Low Power Internet of Things Networks for Open Field Smart Farms
AU - Kim, Woo Hyun
AU - Choi, Seung Kyu
AU - Sohn, Illsoo
N1 - Publisher Copyright:
© 2023, Korean Institute of Communications and Information Sciences. All rights reserved.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - BLE mesh
KW - Energy Optimization
KW - Internet of Things
KW - Smart Farm
KW - Ultra Low-power Monitoring system
UR - https://www.scopus.com/pages/publications/85178944832
U2 - 10.7840/kics.2023.48.12.1606
DO - 10.7840/kics.2023.48.12.1606
M3 - Article
AN - SCOPUS:85178944832
SN - 1226-4717
VL - 48
SP - 1606
EP - 1615
JO - Journal of Korean Institute of Communications and Information Sciences
JF - Journal of Korean Institute of Communications and Information Sciences
IS - 12
ER -