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 proceedingConference contributionAcademicpeer-review

    17 Citations (Scopus)
    1 Downloads (Pure)


    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 languageEnglish
    Title of host publication2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)
    Place of PublicationPiscataway, NJ
    Number of pages7
    ISBN (Electronic)978-1-5090-4130-5
    Publication statusPublished - 2016
    EventIEEE 3rd World Forum on Internet of things (WF-IoT 2016) - Reston, United States
    Duration: 12 Dec 201614 Dec 2016
    Conference number: 3


    ConferenceIEEE 3rd World Forum on Internet of things (WF-IoT 2016)
    Abbreviated titleWF-IoT 2016
    Country/TerritoryUnited States


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