research-article

ACAR: : an ant colony algorithm‐based routing protocol for underwater acoustic sensor network

Authors:

Yun LiAuthors Info & Claims

IET Communications, Volume 14, Issue 22

Pages 3945 - 3954

https://doi.org/10.1049/iet-com.2020.0160

Published: 19 February 2021 Publication History

Abstract

Research on underwater acoustic sensor networks has become a compelling field in recent years since resources on land are being depleted. Therefore, robust and efficient routing protocols are needed to ensure the reliability of message gathering and transmitting in underwater sensor networks. In the process of biological foraging in nature, creatures such as insects can find paths while adapting to dynamic environmental conditions through group cooperation, which provides a new perspective for research on routing protocols. In this study, the authors proposed an ant colony algorithm‐based routing protocol (ACAR). In ACAR, the pheromone with a novel physical meaning and concentration changing mechanism is utilised to guide ants (path establishing packets) to the sink node. In addition, node depth information is used to decrease redundancy in the underwater environment. The routing process can be summarised in three parts: pheromone list setup, routing decision and damaged path repair. Simulation results, carried out on an underwater simulator based on NS‐2, showed that ACAR outperforms other schemes with regards to network lifetime with a relatively better delivery ratio and latency in the proposed network scenarios.

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Cited By

Rajasoundaran SKumar SSelvi MThangaramya KArputharaj K(2024)Secure and optimized intrusion detection scheme using LSTM-MAC principles for underwater wireless sensor networksWireless Networks10.1007/s11276-023-03470-x30:1(209-231)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11276-023-03470-x

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cover image IET Communications

IET Communications Volume 14, Issue 22

December 2020

214 pages

EISSN:1751-8636

DOI:10.1049/cmu2.v14.22

Issue’s Table of Contents

© 2020 The Institution of Engineering and Technology.

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John Wiley & Sons, Inc.

United States

Publication History

Published: 19 February 2021

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Cited By

Rajasoundaran SKumar SSelvi MThangaramya KArputharaj K(2024)Secure and optimized intrusion detection scheme using LSTM-MAC principles for underwater wireless sensor networksWireless Networks10.1007/s11276-023-03470-x30:1(209-231)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11276-023-03470-x

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