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Article

Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks

1
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2
Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an 710072, China
3
School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an 710021, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2024, 12(6), 982; https://doi.org/10.3390/jmse12060982
Submission received: 22 May 2024 / Revised: 2 June 2024 / Accepted: 7 June 2024 / Published: 11 June 2024
(This article belongs to the Special Issue Underwater Acoustic Communication and Network, 2nd Edition)

Abstract

Clustering protocols for underwater acoustic sensor networks (UASNs) have gained widespread attention due to their importance in reducing network complexity. Congestion occurs when the intra-cluster load is greater than the upper limit of the intra-cluster information transmission capacity, which leads to a dramatic deterioration of network performance despite the reduction of network complexity. To avoid congestion, we propose a node load and location-based clustering protocol for UASNs (LLCP). First, a node load and location-based optimization mechanism is proposed. The number of cluster members is optimized based on node load and location to maximize the number of cluster members while avoiding congestion. Then, a node degree and location-based cluster member selection mechanism is proposed to select the optimal cluster members. Finally, a priority-based clustering mechanism is proposed. The node clustering order is adjusted based on the clustering priority to maximize the reduction of network complexity by increasing the average number of cluster members. Simulation results show that our proposed LLCP minimizes the network complexity while avoiding congestion.
Keywords: UASNs; clustering protocol; load; location; cluster member UASNs; clustering protocol; load; location; cluster member

Share and Cite

MDPI and ACS Style

Mei, H.; Wang, H.; Shen, X.; Jiang, Z.; Yan, Y.; Sun, L.; Xie, W. Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks. J. Mar. Sci. Eng. 2024, 12, 982. https://doi.org/10.3390/jmse12060982

AMA Style

Mei H, Wang H, Shen X, Jiang Z, Yan Y, Sun L, Xie W. Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks. Journal of Marine Science and Engineering. 2024; 12(6):982. https://doi.org/10.3390/jmse12060982

Chicago/Turabian Style

Mei, Haodi, Haiyan Wang, Xiaohong Shen, Zhe Jiang, Yongsheng Yan, Lin Sun, and Weiliang Xie. 2024. "Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks" Journal of Marine Science and Engineering 12, no. 6: 982. https://doi.org/10.3390/jmse12060982

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