A Fair and Energy Efficient Cooperative Routing Protocol Based on Link Quality for Underwater Acoustic Sensor Network

被引:0
作者
Yang, Shuting [1 ]
Chen, Keyu [1 ]
Feng, Wei [2 ]
Cheng, En [1 ]
机构
[1] Xiamen Univ, Key Lab Underwater Acoust Commun & Marine Informa, Minist Educ, Xiamen, Fujian, Peoples R China
[2] Hangzhou Appl Acoust Res Inst, Sci & Technol Sonar Lab, Hangzhou, Zhejiang, Peoples R China
来源
PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024 | 2024年
基金
中国国家自然科学基金;
关键词
link quality; cross-layer cooperative protocols; cluster; fairness; energy consumption;
D O I
10.1109/CSCWD61410.2024.10580182
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The variation of Link quality in underwater sensor networks often lead to link interruption and void-hole. To address the above issues, some protocols chose nodes with good link quality as relay nodes without considering fairness, while others used multipath and greedy forwarding which cause high energy consumption. Therefore, this article proposes a fair and energy efficient cooperative routing protocol based On link quality for underwater acoustic sensor network (FECRP). This protocol divides underwater sensor networks into clusters, selects cluster heads and relay nodes based on perceived link quality, it cooperatives with MAC protocol in the data transmission within the cluster, scheduling the repeated transmission of data packets to overcome link interruptions. The simulation results show that this protocol improves fairness and reduces energy consumption while ensuring throughput.
引用
收藏
页码:2888 / 2893
页数:6
相关论文
共 21 条
[1]  
[Anonymous], 2017, 2017 23 INT C AUTOMA
[2]  
[Anonymous], 2016, IEEE INT C EM TECHN
[3]   CARP: A Channel-aware routing protocol for underwater acoustic wireless networks [J].
Basagni, Stefano ;
Petrioli, Chiara ;
Petroccia, Roberto ;
Spaccini, Daniele .
AD HOC NETWORKS, 2015, 34 :92-104
[4]   A Survey on MAC Protocols for Underwater Wireless Sensor Networks [J].
Chen, Keyu ;
Ma, Maode ;
Cheng, En ;
Yuan, Fei ;
Su, Wei .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (03) :1433-1447
[5]  
Chenthil T. R., 2022, 2022 INTERNATIONAL C
[6]  
Chenthil T. R., 2022, 2022 INTERNATIONAL C
[7]   CARMA: Channel-Aware Reinforcement Learning-Based Multi-Path Adaptive Routing for Underwater Wireless Sensor Networks [J].
Di Valerio, Valerio ;
Lo Presti, Francesco ;
Petrioli, Chiara ;
Picari, Luigi ;
Spaccini, Daniele ;
Basagni, Stefano .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (11) :2634-2647
[8]   Performance Evaluation of Depth Adjustment and Void Aware Pressure Routing (DA-VAPR) Protocol for Underwater Wireless Sensor Networks [J].
Ganesh, N. .
COMPUTER JOURNAL, 2020, 63 (02) :193-202
[9]   AMCTD: Adaptive Mobility of Courier nodes in Threshold-optimized DBR Protocol for Underwater Wireless Sensor Networks [J].
Jafri, M. R. ;
Ahmed, S. ;
Javaid, N. ;
Ahmad, Z. ;
Qureshi, R. J. .
2013 EIGHTH INTERNATIONAL CONFERENCE ON BROADBAND, WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS (BWCCA 2013), 2013, :93-99
[10]   Adaptive link quality routing protocol for UASNs with double forwarding modes [J].
Jin, Zhigang ;
Liang, Jiawei ;
Yin, Huan ;
Hong, Ye .
AD HOC NETWORKS, 2023, 141