Leveraging BLE and LoRa in IoT Network for Wildlife Monitoring System (WMS)

Eyuel Debebe Ayele; Kallol  Das; Nirvana  Meratnia; Paul J.M. Havinga

doi:10.1109/WF-IoT.2018.8355223

Leveraging BLE and LoRa in IoT Network for Wildlife Monitoring System (WMS)

Eyuel Debebe Ayele, Kallol Das, Nirvana Meratnia, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

1 Downloads (Pure)

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.

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	https://doi.org/10.1109/WF-IoT.2018.8355223
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

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title = "Leveraging BLE and LoRa in IoT Network for Wildlife Monitoring System (WMS)",

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 powerwide 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 theperformance 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.",

author = "Ayele, {Eyuel Debebe} and Kallol Das and Nirvana Meratnia and Havinga, {Paul J.M.}",

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AU - Ayele, Eyuel Debebe

AU - Das, Kallol

AU - Meratnia, Nirvana

AU - Havinga, Paul J.M.

N1 - Conference code: 3

PY - 2016

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N2 - 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 powerwide 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 theperformance 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.

AB - 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 powerwide 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 theperformance 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.

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CY - Piscataway, NJ

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