A Clustering Algorithm of Underwater Acoustic Sensor Networks Based on Hierarchical 3D Mesh
2018 International Conference on Networking and Network Applications (NaNA)(2018)
摘要
Underwater acoustic sensor networks (UASNs) provide new opportunities for exploring oceans and consequently improving our understanding of the underwater world. Clustering is a key technical measure of UASNs, which balances the network energy and improves the network survival time obviously. In this paper, we propose a clustering algorithm based on 3D mesh, and design a hierarchical network model, a node addressing method for UANSs. The performance of the algorithm is compared with DS-VBF, IAR and GEDAR. The simulation demonstrates that our algorithm has advantages in terms of the end-to-end delay and the time-to-live (TTL).
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关键词
Clustering algorithms,Energy consumption,Three-dimensional displays,Routing,Data aggregation,Solid modeling,Protocols
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