A Collision Avoidance MAC Protocol with Power Control for Adaptive Clustering Underwater Sensor Networks

被引:1
作者
Xue, Libin [1 ]
Lei, Hong [1 ]
Zhu, Rongxin [2 ]
机构
[1] Hainan Univ, Sch Cyberspace Secur, Haikou 570228, Peoples R China
[2] Hainan Univ, Sch Comp Sci & Technol, Haikou 570228, Peoples R China
基金
中国国家自然科学基金;
关键词
media access control (MAC); power control; collision avoidance; clustering algorithm; game theory;
D O I
10.3390/jmse13010076
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Underwater sensor networks (UWSNs) play a vital role in marine exploration and environmental monitoring. However, due to the characteristics of underwater acoustic channels such as high delay, low bandwidth, and energy limitation, the design of an underwater media access control (MAC) protocol has brought great challenges, and existing MAC protocol designs rarely consider the influence of channel interference factors in networking. Therefore, this paper proposes a collision avoidance MAC protocol for clustering underwater sensor networks. The protocol first classifies users by combining the channel characteristics of underwater nodes and the distance measurement between nodes. Then, based on the clustering network, according to the channel correlation distance measurement between nodes and the communication range of the cluster head (CH), the transmit power in clusters is controlled to reduce the lifetime of the network based on the cumulative reduction in node power consumption. Finally, the cluster structure in each cluster is used to schedule the transmission of member nodes in the cluster, and at the same time, the energy consumption of nodes is reduced while multi-node collision-free transmission is realized. The simulation results show that the throughput of the proposed adaptive power control clustering MAC protocol (APCC-MAC) is 26.5% and 19.5% higher than that of packet-level slot scheduling (PLSS) algorithm and Cluster-Based Spatial-Temporal Scheduling (CSS) algorithm, respectively, providing better communication performance and stability for clustered underwater acoustic networks.
引用
收藏
页数:18
相关论文
共 29 条
[1]   An Aloha protocol for multihop mobile wireless networks [J].
Baccelli, F ;
Blaszczyszyn, B ;
Mühlethaler, P .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :421-436
[2]   A Clustering Election Game-Based and Two-Level Management Protocol for Wireless Sensor Networks [J].
Cai, Lingru ;
Huang, Ruisong ;
Li, Zhangjie ;
Luo, Lun ;
Xiong, Zhi ;
Chen, Yindong .
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (07) :12058-12070
[3]   A Software-Defined Underwater Acoustic Modem for Everyone: Design and Evaluation [J].
Campagnaro F. ;
Francescon R. ;
Coccolo E. ;
Montanari A. ;
Zorzi M. .
IEEE Internet of Things Magazine, 2023, 6 (01) :102-107
[4]   RHNE-MAC: Random Handshake MAC Protocol Based on Nash Equilibrium for Underwater Wireless Sensor Networks [J].
Dong Wei ;
Yang Qiuling ;
Chen Yanxia ;
Sun Shijie ;
Huang Xiangdang .
IEEE SENSORS JOURNAL, 2021, 21 (18) :21090-21098
[5]  
Guo J., 2022, An Efficient Medium Access Control Scheme Based on MC-CDMA for Mobile Underwater Acoustic Networks, VVolume 36, P167
[6]   A Hybrid NOMA-Based MAC Protocol for Underwater Acoustic Networks [J].
Guo, Jiani ;
Song, Shanshan ;
Liu, Jun ;
Chen, Hao ;
Cui, Jun-Hong ;
Han, Guangjie .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32 (02) :1187-1200
[7]  
Heiniger R. W., 2000, Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, 16-19 July, 2000, P1
[8]   State-of-the-Art Underwater Acoustic Communication Modems: Classifications, Analyses and Design Challenges [J].
Irfan Zia, Muhammad Yousuf ;
Poncela, Javier ;
Otero, Pablo .
WIRELESS PERSONAL COMMUNICATIONS, 2021, 116 (02) :1325-1360
[9]   A survey on energy efficiency in underwater wireless communications [J].
Islam, Kazi Yasin ;
Ahmad, Iftekhar ;
Habibi, Daryoush ;
Waqar, Adnan .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2022, 198
[10]   Packet-Level Slot Scheduling MAC Protocol in Underwater Acoustic Sensor Networks [J].
Liu, Meiyan ;
Zhuo, Xiaoxiao ;
Wei, Yan ;
Wu, Yezhou ;
Qu, Fengzhong .
IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (11) :8990-9004