Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks

Underwater wireless sensor networks (UWSNs) have emerged as a promising technology to monitor and explore the oceans instead of traditional undersea wireline instruments. Traditional routing protocols are inefficient for UWSNs due to the specific nature of the underwater environment. In contrast, Op...

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Main Authors: Danfeng Zhao, Guiyang Lun, Rui Xue, Yanbo Sun
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/9/3205
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author Danfeng Zhao
Guiyang Lun
Rui Xue
Yanbo Sun
author_facet Danfeng Zhao
Guiyang Lun
Rui Xue
Yanbo Sun
author_sort Danfeng Zhao
collection DOAJ
description Underwater wireless sensor networks (UWSNs) have emerged as a promising technology to monitor and explore the oceans instead of traditional undersea wireline instruments. Traditional routing protocols are inefficient for UWSNs due to the specific nature of the underwater environment. In contrast, Opportunistic Routing (OR) protocols establish an online route for each transmission, which can well adapt with time-varying underwater channel. Cross-layer design is an effective approach to combine the metrics from different layers to optimize an OR routing in UWSNs. However, typical cross-layer OR routing protocols that are designed for UWSNs suffer from congestion problem at high traffic loads. In this paper, a Cross-Layer-Aided Opportunistic Routing Protocol (CLOR) is proposed to reduce the congestion in multi-hop sparse UWSNs. The CLOR consists of a negotiation phase and transmission phase. In the negotiation phase, the cross-layer information in fuzzy logic is utilized to attain an optimal forwarder node. In the transmission phase, to improve the transmission performance, a burst transmission strategy with network coding is exploited. Finally, we perform simulations of the proposed CLOR protocol in a specific sea region. Simulation results show that CLOR significantly improves the network performances at various traffic rates compared to existing protocols.
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spelling doaj.art-d55626a2e57746959bbb6fd29393c8222023-11-21T18:26:15ZengMDPI AGSensors1424-82202021-05-01219320510.3390/s21093205Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor NetworksDanfeng Zhao0Guiyang Lun1Rui Xue2Yanbo Sun3College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaSouthwest China Institute of Electronic Technology, Chengdu 610036, ChinaUnderwater wireless sensor networks (UWSNs) have emerged as a promising technology to monitor and explore the oceans instead of traditional undersea wireline instruments. Traditional routing protocols are inefficient for UWSNs due to the specific nature of the underwater environment. In contrast, Opportunistic Routing (OR) protocols establish an online route for each transmission, which can well adapt with time-varying underwater channel. Cross-layer design is an effective approach to combine the metrics from different layers to optimize an OR routing in UWSNs. However, typical cross-layer OR routing protocols that are designed for UWSNs suffer from congestion problem at high traffic loads. In this paper, a Cross-Layer-Aided Opportunistic Routing Protocol (CLOR) is proposed to reduce the congestion in multi-hop sparse UWSNs. The CLOR consists of a negotiation phase and transmission phase. In the negotiation phase, the cross-layer information in fuzzy logic is utilized to attain an optimal forwarder node. In the transmission phase, to improve the transmission performance, a burst transmission strategy with network coding is exploited. Finally, we perform simulations of the proposed CLOR protocol in a specific sea region. Simulation results show that CLOR significantly improves the network performances at various traffic rates compared to existing protocols.https://www.mdpi.com/1424-8220/21/9/3205underwater wireless sensor networkscross-layer routingopportunistic routingfuzzy logicnetwork coding
spellingShingle Danfeng Zhao
Guiyang Lun
Rui Xue
Yanbo Sun
Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
Sensors
underwater wireless sensor networks
cross-layer routing
opportunistic routing
fuzzy logic
network coding
title Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
title_full Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
title_fullStr Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
title_full_unstemmed Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
title_short Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks
title_sort cross layer aided opportunistic routing for sparse underwater wireless sensor networks
topic underwater wireless sensor networks
cross-layer routing
opportunistic routing
fuzzy logic
network coding
url https://www.mdpi.com/1424-8220/21/9/3205
work_keys_str_mv AT danfengzhao crosslayeraidedopportunisticroutingforsparseunderwaterwirelesssensornetworks
AT guiyanglun crosslayeraidedopportunisticroutingforsparseunderwaterwirelesssensornetworks
AT ruixue crosslayeraidedopportunisticroutingforsparseunderwaterwirelesssensornetworks
AT yanbosun crosslayeraidedopportunisticroutingforsparseunderwaterwirelesssensornetworks