Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks

Although mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of link burstiness and interference. In this paper, we propose a novel link quality...

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Main Authors: Ngoc Huy Nguyen, Myung Kyun Kim
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/23/6430
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author Ngoc Huy Nguyen
Myung Kyun Kim
author_facet Ngoc Huy Nguyen
Myung Kyun Kim
author_sort Ngoc Huy Nguyen
collection DOAJ
description Although mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of link burstiness and interference. In this paper, we propose a novel link quality estimation mechanism named the burstiness distribution metric, which uses the distribution of burstiness in the links to deal with variations in wireless link quality. First, we estimated the quality of the link at the receiver node by counting the number of consecutive packets lost in each link. Based on that, we created a burstiness distribution list and estimated the number of transmissions. Our simulation in the Cooja simulator from Contiki-NG showed that our proposal can be used in scheduling as an input metric to calculate the number of transmissions in order to achieve a reliability target in industrial wireless sensor networks.
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spelling doaj.art-47fcd2bdb57d47108b76af268235ae9e2023-11-20T23:33:10ZengMDPI AGEnergies1996-10732020-12-011323643010.3390/en13236430Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor NetworksNgoc Huy Nguyen0Myung Kyun Kim1IT Convergence Department, University of Ulsan, Daehak-ro 93, Nam-gu Ulsan 44610, KoreaIT Convergence Department, University of Ulsan, Daehak-ro 93, Nam-gu Ulsan 44610, KoreaAlthough mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of link burstiness and interference. In this paper, we propose a novel link quality estimation mechanism named the burstiness distribution metric, which uses the distribution of burstiness in the links to deal with variations in wireless link quality. First, we estimated the quality of the link at the receiver node by counting the number of consecutive packets lost in each link. Based on that, we created a burstiness distribution list and estimated the number of transmissions. Our simulation in the Cooja simulator from Contiki-NG showed that our proposal can be used in scheduling as an input metric to calculate the number of transmissions in order to achieve a reliability target in industrial wireless sensor networks.https://www.mdpi.com/1996-1073/13/23/6430IEEE 802.15.4eindustrial wireless sensor networkslink metric measurementslink burstinessreliability
spellingShingle Ngoc Huy Nguyen
Myung Kyun Kim
Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
Energies
IEEE 802.15.4e
industrial wireless sensor networks
link metric measurements
link burstiness
reliability
title Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
title_full Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
title_fullStr Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
title_full_unstemmed Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
title_short Link Quality Estimation from Burstiness Distribution Metric in Industrial Wireless Sensor Networks
title_sort link quality estimation from burstiness distribution metric in industrial wireless sensor networks
topic IEEE 802.15.4e
industrial wireless sensor networks
link metric measurements
link burstiness
reliability
url https://www.mdpi.com/1996-1073/13/23/6430
work_keys_str_mv AT ngochuynguyen linkqualityestimationfromburstinessdistributionmetricinindustrialwirelesssensornetworks
AT myungkyunkim linkqualityestimationfromburstinessdistributionmetricinindustrialwirelesssensornetworks