Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System

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

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

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Abstract

Currently there are several technologies such as opportunistic wireless sensor networks deployed to monitor wildlife. Due to network complexity and lack of full connectivity, the collected data is often either saved on internal memory for later off-line data transfer or relayed to sink nodes. In this paper, however, we introduce an asynchronous dual interface opportunistic beacon network for animal monitoring. Unlike conventional opportunistic networks which are based on multi-copy data replication techniques, our approach utilizes an optimized single-copy beacon data transmission to achieve high energy efficiency. Furthermore, the collected data is aggregated and relayed to the central system by leveraging a low power and long range radio to provide high connectivity coverage. This approach will allow to facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring applications. We evaluate the proposed approach in an actual animal movement use-case scenario. The results indicate that the proposed approach outperforms the traditional opportunistic networks in-terms of energy consumption and packet delivery ratio.
Original languageEnglish
Title of host publicationNTMS'2019 - Mobility & Wireless Networks Track
Publication statusAccepted/In press - 22 Jun 2019
Event10th IFIP International Conference on New Technologies, Mobility & Security 2019 - Lopesan Costa Meloneras Resort, Spa & Casino Hotel, Las Palmas, Spain
Duration: 24 Jun 201926 Jun 2019
Conference number: 10
http://www.ntms-conf.org/ntms2019/

Conference

Conference10th IFIP International Conference on New Technologies, Mobility & Security 2019
Abbreviated titleNTMS 2019
CountrySpain
CityLas Palmas
Period24/06/1926/06/19
Internet address

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Animals
Network protocols
Monitoring
Data transfer
Data communication systems
Energy efficiency
Wireless sensor networks
Energy utilization
Data storage equipment
Internet of things

Cite this

Ayele, E. D., Havinga, P. J. M., & Meratnia, N. (Accepted/In press). Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System. In NTMS'2019 - Mobility & Wireless Networks Track
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title = "Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System",
abstract = "Currently there are several technologies such as opportunistic wireless sensor networks deployed to monitor wildlife. Due to network complexity and lack of full connectivity, the collected data is often either saved on internal memory for later off-line data transfer or relayed to sink nodes. In this paper, however, we introduce an asynchronous dual interface opportunistic beacon network for animal monitoring. Unlike conventional opportunistic networks which are based on multi-copy data replication techniques, our approach utilizes an optimized single-copy beacon data transmission to achieve high energy efficiency. Furthermore, the collected data is aggregated and relayed to the central system by leveraging a low power and long range radio to provide high connectivity coverage. This approach will allow to facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring applications. We evaluate the proposed approach in an actual animal movement use-case scenario. The results indicate that the proposed approach outperforms the traditional opportunistic networks in-terms of energy consumption and packet delivery ratio.",
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Ayele, ED, Havinga, PJM & Meratnia, N 2019, Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System. in NTMS'2019 - Mobility & Wireless Networks Track. 10th IFIP International Conference on New Technologies, Mobility & Security 2019, Las Palmas, Spain, 24/06/19.

Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System. / Ayele, Eyuel Debebe; Havinga, Paul J.M.; Meratnia, Nirvana .

NTMS'2019 - Mobility & Wireless Networks Track. 2019.

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

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N2 - Currently there are several technologies such as opportunistic wireless sensor networks deployed to monitor wildlife. Due to network complexity and lack of full connectivity, the collected data is often either saved on internal memory for later off-line data transfer or relayed to sink nodes. In this paper, however, we introduce an asynchronous dual interface opportunistic beacon network for animal monitoring. Unlike conventional opportunistic networks which are based on multi-copy data replication techniques, our approach utilizes an optimized single-copy beacon data transmission to achieve high energy efficiency. Furthermore, the collected data is aggregated and relayed to the central system by leveraging a low power and long range radio to provide high connectivity coverage. This approach will allow to facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring applications. We evaluate the proposed approach in an actual animal movement use-case scenario. The results indicate that the proposed approach outperforms the traditional opportunistic networks in-terms of energy consumption and packet delivery ratio.

AB - Currently there are several technologies such as opportunistic wireless sensor networks deployed to monitor wildlife. Due to network complexity and lack of full connectivity, the collected data is often either saved on internal memory for later off-line data transfer or relayed to sink nodes. In this paper, however, we introduce an asynchronous dual interface opportunistic beacon network for animal monitoring. Unlike conventional opportunistic networks which are based on multi-copy data replication techniques, our approach utilizes an optimized single-copy beacon data transmission to achieve high energy efficiency. Furthermore, the collected data is aggregated and relayed to the central system by leveraging a low power and long range radio to provide high connectivity coverage. This approach will allow to facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring applications. We evaluate the proposed approach in an actual animal movement use-case scenario. The results indicate that the proposed approach outperforms the traditional opportunistic networks in-terms of energy consumption and packet delivery ratio.

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