Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold

As advancements in autonomous underwater vehicle (AUV) technology unfold, the role of underwater wireless sensor networks (UWSNs) is becoming increasingly pivotal. However, the high energy consumption in these networks can significantly reduce their operational lifespan, while latency issues can imp...

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Main Authors: Ning Li, Zhiyu Xiang, Liang Feng, Zhiqiang Gao, Jiaqi Liu, Haitao Gu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/2/570
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author Ning Li
Zhiyu Xiang
Liang Feng
Zhiqiang Gao
Jiaqi Liu
Haitao Gu
author_facet Ning Li
Zhiyu Xiang
Liang Feng
Zhiqiang Gao
Jiaqi Liu
Haitao Gu
author_sort Ning Li
collection DOAJ
description As advancements in autonomous underwater vehicle (AUV) technology unfold, the role of underwater wireless sensor networks (UWSNs) is becoming increasingly pivotal. However, the high energy consumption in these networks can significantly reduce their operational lifespan, while latency issues can impair overall network performance. To address these challenges, a novel mixed packet forwarding strategy is developed, which incorporates a wakeup threshold and a dynamically adjusted access probability for the cluster head (CH). This approach aims to conserve energy while maintaining acceptable network latency levels. The wakeup threshold restricts the frequency of state switching for the CH, thereby reducing energy consumption. Meanwhile, the dynamic access probability regulates the influx of packets to mitigate system congestion based on current network conditions. Furthermore, to accommodate the network’s varied transmission demands, packets generated by sensor nodes (SNs) are categorized into two types according to their sensitivity to latency. A discrete−time queueing model with preemptive priority is then established to evaluate the performance of different packets and the CH. Numerical results show how different parameters affect network performance and demonstrate that the proposed mixed packet forwarding mechanism can effectively manage the trade−off between latency and energy consumption, outperforming the traditional mechanism within a specific range of parameters.
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institution Kabale University
issn 1424-8220
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series Sensors
spelling doaj-art-004889f1f2234fd7bb2aa24cdfdfee972025-01-24T13:49:23ZengMDPI AGSensors1424-82202025-01-0125257010.3390/s25020570Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup ThresholdNing Li0Zhiyu Xiang1Liang Feng2Zhiqiang Gao3Jiaqi Liu4Haitao Gu5State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaAs advancements in autonomous underwater vehicle (AUV) technology unfold, the role of underwater wireless sensor networks (UWSNs) is becoming increasingly pivotal. However, the high energy consumption in these networks can significantly reduce their operational lifespan, while latency issues can impair overall network performance. To address these challenges, a novel mixed packet forwarding strategy is developed, which incorporates a wakeup threshold and a dynamically adjusted access probability for the cluster head (CH). This approach aims to conserve energy while maintaining acceptable network latency levels. The wakeup threshold restricts the frequency of state switching for the CH, thereby reducing energy consumption. Meanwhile, the dynamic access probability regulates the influx of packets to mitigate system congestion based on current network conditions. Furthermore, to accommodate the network’s varied transmission demands, packets generated by sensor nodes (SNs) are categorized into two types according to their sensitivity to latency. A discrete−time queueing model with preemptive priority is then established to evaluate the performance of different packets and the CH. Numerical results show how different parameters affect network performance and demonstrate that the proposed mixed packet forwarding mechanism can effectively manage the trade−off between latency and energy consumption, outperforming the traditional mechanism within a specific range of parameters.https://www.mdpi.com/1424-8220/25/2/570underwater wireless sensor networkspriority schedulingaccess probabilitywakeup thresholdqueueing theory
spellingShingle Ning Li
Zhiyu Xiang
Liang Feng
Zhiqiang Gao
Jiaqi Liu
Haitao Gu
Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
Sensors
underwater wireless sensor networks
priority scheduling
access probability
wakeup threshold
queueing theory
title Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
title_full Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
title_fullStr Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
title_full_unstemmed Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
title_short Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold
title_sort performance and energy consumption analysis for uwsns with priority scheduling based on access probability and wakeup threshold
topic underwater wireless sensor networks
priority scheduling
access probability
wakeup threshold
queueing theory
url https://www.mdpi.com/1424-8220/25/2/570
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AT liangfeng performanceandenergyconsumptionanalysisforuwsnswithpriorityschedulingbasedonaccessprobabilityandwakeupthreshold
AT zhiqianggao performanceandenergyconsumptionanalysisforuwsnswithpriorityschedulingbasedonaccessprobabilityandwakeupthreshold
AT jiaqiliu performanceandenergyconsumptionanalysisforuwsnswithpriorityschedulingbasedonaccessprobabilityandwakeupthreshold
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