Highly energy efficient animal mobility driven BLE beacon advertising control for wildlife monitoring

Eyuel Ayele, Fatjon Seraj

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Wireless sensor networks (WSN) are the basis for wildlife monitoring systems (WMS) because of their flexibility and energy-efficiency. However, their utilization often involves an inherently frequent data advertising mechanism that can result in a significantly higher energy consumption for monitoring mobile animals. To overcome this issue, we propose an mobility event-driven beacon advertising control scheme based on an unsupervised algorithm. We transmit more frequently in a panic state and less frequently during passive state. We compared our approach with a conventional periodic advertising and K-Mean clustering based schemes by analyzing the network energy consumption. The results show that the proposed mechanism could indeed reduce the energy consumption substantially by adaptively adjusting the node wake-up time to specific animal movement states.

Original languageEnglish
Title of host publicationSYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings
PublisherIEEE
ISBN (Electronic)9781728153650
DOIs
Publication statusPublished - 7 Dec 2020
Event14th Annual IEEE International Systems Conference, SYSCON 2020 - Virtual, Montreal, Canada
Duration: 24 Aug 202027 Aug 2020
Conference number: 14

Conference

Conference14th Annual IEEE International Systems Conference, SYSCON 2020
Abbreviated titleSYSCON 2020
CountryCanada
CityVirtual, Montreal
Period24/08/2027/08/20

Keywords

  • Beacon
  • BLE
  • Energy
  • Internet of Things
  • IoT
  • Monitoring
  • Self-organizing Maps
  • Wild-life

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