Abstract
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.
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.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Number of pages | 7 |
| ISBN (Electronic) | 978-1-5090-4130-5 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | IEEE 3rd World Forum on Internet of things (WF-IoT 2016) - Reston, United States Duration: 12 Dec 2016 → 14 Dec 2016 Conference number: 3 |
Conference
| Conference | IEEE 3rd World Forum on Internet of things (WF-IoT 2016) |
|---|---|
| Abbreviated title | WF-IoT 2016 |
| Country | United States |
| City | Reston |
| Period | 12/12/16 → 14/12/16 |
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Cite this
Ayele, E. D., Das, K., Meratnia, N., & Havinga, P. J. M. (2016). Leveraging BLE and LoRa in IoT Network for Wildlife Monitoring System (WMS). In 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) Piscataway, NJ: IEEE. https://doi.org/10.1109/WF-IoT.2018.8355223