Leveraging BLE and LoRa in IoT network for wildlife monitoring system (WMS)

• Published in: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT) pp. 342 - 348
• Main Authors: Ayele, Eyuel D., Das, Kallol, Meratnia, Nirvana, Havinga, Paul J.M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-02-2018
• Subjects: Bluetooth low energy (BLE); Energy consumption; energy consumption modeling; internet of things (IoT); LoRa; LPWAN; Monitoring; Network architecture; wild life monitoring; Wildlife; Wireless communication; Wireless sensor networks
• DOI: 10.1109/WF-IoT.2018.8355223

In this paper we propose a new dual radio IoT network architecture for wildlife monitoring system (WMS). WMS leverages bluetooth low energy (BLE) in low power wide area networks (LPWANs) by dynamically changing the operating radio based on the proximity among herd of wild animals. This approach will facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring application. In addition we present an analytical model to investigate the performance of the proposed IoT network in terms of energy consumption under a wildlife monitoring use-case. The simulation results show that the dual radio network leads to a higher energy efficiency when compared to the network utilizing only LPWAN. Moreover, our network readily doubles the network life time for various data traffic rates.