Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks
Deploying Internet of Things (IoT) on low-power lossy wireless sensor/actuator networks (LLN) in harsh industrial environments presents challenges such as dynamic link qualities due to noise, signal attenuations and spurious interferences. However, the critical demand for industrial applications is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/20/7039 |
| _version_ | 1797574000900046848 |
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| author | Armaghan Darbandi Myung-Kyun Kim |
| author_facet | Armaghan Darbandi Myung-Kyun Kim |
| author_sort | Armaghan Darbandi |
| collection | DOAJ |
| description | Deploying Internet of Things (IoT) on low-power lossy wireless sensor/actuator networks (LLN) in harsh industrial environments presents challenges such as dynamic link qualities due to noise, signal attenuations and spurious interferences. However, the critical demand for industrial applications is reliability of data delivery on low-cost low-power sensor/actuator devices. To address these issues, this paper proposes a fully autonomous scheduling approach, called Auto-Sched, which ensures reliability of data delivery for both downlink and uplink traffic scheduling and enhances network robustness against node/link failures. To ensure reliability, Auto-Sched assigns retransmission time slots based on the reliability constraints of the communication link. To avoid collision issues, Auto-Sched creates an upward pipeline-like communication schedule for uplink end-to-end data delivery, and a downward pipeline-like communication schedule for downlink scheduling. For enhancing network robustness, we propose a simple algorithm for real-time autonomous schedule reconstruction, when node or link failures occur, with minimal influence on communication overhead. Performance evaluations quantified the performance of our proposed approaches under a variety of scenarios comparing them with existing approaches. |
| first_indexed | 2024-03-10T21:17:03Z |
| format | Article |
| id | doaj.art-dc5cbfcdba3341deb183eb7fe62988e7 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:17:03Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-dc5cbfcdba3341deb183eb7fe62988e72023-11-19T16:21:17ZengMDPI AGEnergies1996-10732023-10-011620703910.3390/en16207039Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor NetworksArmaghan Darbandi0Myung-Kyun Kim1Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of KoreaDepartment of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of KoreaDeploying Internet of Things (IoT) on low-power lossy wireless sensor/actuator networks (LLN) in harsh industrial environments presents challenges such as dynamic link qualities due to noise, signal attenuations and spurious interferences. However, the critical demand for industrial applications is reliability of data delivery on low-cost low-power sensor/actuator devices. To address these issues, this paper proposes a fully autonomous scheduling approach, called Auto-Sched, which ensures reliability of data delivery for both downlink and uplink traffic scheduling and enhances network robustness against node/link failures. To ensure reliability, Auto-Sched assigns retransmission time slots based on the reliability constraints of the communication link. To avoid collision issues, Auto-Sched creates an upward pipeline-like communication schedule for uplink end-to-end data delivery, and a downward pipeline-like communication schedule for downlink scheduling. For enhancing network robustness, we propose a simple algorithm for real-time autonomous schedule reconstruction, when node or link failures occur, with minimal influence on communication overhead. Performance evaluations quantified the performance of our proposed approaches under a variety of scenarios comparing them with existing approaches.https://www.mdpi.com/1996-1073/16/20/7039IoT networksLLNautonomous schedulingreliabilityrobustnessreal-time |
| spellingShingle | Armaghan Darbandi Myung-Kyun Kim Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks Energies IoT networks LLN autonomous scheduling reliability robustness real-time |
| title | Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks |
| title_full | Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks |
| title_fullStr | Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks |
| title_full_unstemmed | Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks |
| title_short | Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks |
| title_sort | autonomous scheduling for reliable transmissions in industrial wireless sensor networks |
| topic | IoT networks LLN autonomous scheduling reliability robustness real-time |
| url | https://www.mdpi.com/1996-1073/16/20/7039 |
| work_keys_str_mv | AT armaghandarbandi autonomousschedulingforreliabletransmissionsinindustrialwirelesssensornetworks AT myungkyunkim autonomousschedulingforreliabletransmissionsinindustrialwirelesssensornetworks |