FL-SDUAN: a fuzzy logic-based routing scheme for software-defined underwater acoustic networks

Wang, J., Feng, Q., Ma, J. and Feng, Y. (2023) FL-SDUAN: a fuzzy logic-based routing scheme for software-defined underwater acoustic networks. Applied Sciences, 13(2), 944. (doi: 10.3390/app13020944)

Abstract

In underwater acoustic networks, the accurate estimation of routing weights is NP-hard due to the time-varying environment. Fuzzy logic is a powerful tool for dealing with vague problems. Software-defined networking (SDN) is a promising technology that enables flexible management by decoupling the data plane from the control plane. Inspired by this, we proposed a fuzzy logic-based software-defined routing scheme for underwater acoustic networks (FL-SDUAN). Specifically, we designed a software-defined underwater acoustic network architecture. Based on fuzzy path optimization (FPO-MST) and fuzzy cut-set optimization (FCO-MST), two minimum spanning tree algorithms under different network scales were proposed. In addition, we compared the proposed algorithms to state-of-the-art methods regarding packet delivery rate, end-to-end latency, and throughput in different underwater acoustic network scenarios. Extensive experiments demonstrated that a trade-off between performance and complexity was achieved in our work.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Feng, Yikun
• Authors: Wang, J., Feng, Q., Ma, J., and Feng, Y.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Applied Sciences
• Publisher: MDPI
• ISSN: 2076-3417
• ISSN (Online): 2076-3417
• Published Online: 10 January 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Applied Sciences 13(2): 944
• Publisher Policy: Reproduced under a Creative Commons License