Cross-Layer Topology Control Algorithm Based on Supermodular Game and Optimal Rigid Graph

To reduce and balance the energy consumption of underwater nodes, this article proposes a cross-layer topology control algorithm for underwater wireless sensor network (UWSN) based on supermodular games and optimal rigid graphs. First, this article combines the parameters of different layers such as connectivity factor, coverage factor, neighbor node interference, and average ratio of residual energy to design a supermodular game model and proves the existence of Nash equilibrium (NE). In this stage, we can adjust the transmitting power and communication range of nodes dynamically. Then, the link weight function is constructed based on success rate and node energy information, and the redundant links in the network are eliminated by using the principle of optimal rigid graph. This algorithm can dynamically adjust the network topology, improve the quality of network transmission, and effectively prolong the network lifetime.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-10-07
DOI
https://doi.org/10.1109/jsen.2024.3470798
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21

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article

Cross-Layer Topology Control Algorithm Based on Supermodular Game and Optimal Rigid Graph

Shefeng Yan, Guangjie Han, Jingjing Wang, Jia Gao et al.
1 citations
IEEE Sensors Journal
Power Systems and Technologies
0.21
article

Cross-Layer Topology Control Algorithm Based on Supermodular Game and Optimal Rigid Graph

Shefeng Yan, Guangjie Han, Jingjing Wang, Jia Gao, Wei Shi
article en
1 citations

Abstract

To reduce and balance the energy consumption of underwater nodes, this article proposes a cross-layer topology control algorithm for underwater wireless sensor network (UWSN) based on supermodular games and optimal rigid graphs. First, this article combines the parameters of different layers such as connectivity factor, coverage factor, neighbor node interference, and average ratio of residual energy to design a supermodular game model and proves the existence of Nash equilibrium (NE). In this stage, we can adjust the transmitting power and communication range of nodes dynamically. Then, the link weight function is constructed based on success rate and node energy information, and the redundant links in the network are eliminated by using the principle of optimal rigid graph. This algorithm can dynamically adjust the network topology, improve the quality of network transmission, and effectively prolong the network lifetime.

IEEE Sensors JournalVol. 24(23)
Qingdao University of Science and Technology (CN), Hohai University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 47%
Power Systems and Technologies
0.21
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Cross-Layer Topology Control Algorithm Based on Supermodular Game and Optimal Rigid Graph — Shefeng Yan, Guangjie Han, et al. · IEEE Sensors Journal (2024) | TGRS Research Map | TGRS