Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN

Junho Seo; Ayesha Siddiqa; Muhammad Ashar Tariq; Malik Muhammad Saad; Dongkyun Kim

doi:10.1145/3477314.3507033

Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN

Junho Seo, Ayesha Siddiqa, Muhammad Ashar Tariq, Malik Muhammad Saad, Dongkyun Kim

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The name data network is an information-based network to support futuristic internet traffic. However, the application of naïve NDN in an underwater environment is not efficient; because it broadcasts the packets in the network that increases the network load, and decreases the communication efficiency. So, we proposed the novel cluster-based AUV communication scheme for malicious AUV detection and information dissemination within the minimum delay. It clusters the AUVs based on common interest and only enables H-AUV to exchange packets in inter/intracluster communication. The results show improvement in communication efficiency within the minimum delay, decrease network load, and also minimizes the packet loss probability.

Original language	English
Title of host publication	Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022
Publisher	Association for Computing Machinery
Pages	1932-1937
Number of pages	6
ISBN (Electronic)	9781450387132
DOIs	https://doi.org/10.1145/3477314.3507033
State	Published - 25 Apr 2022
Event	37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 - Virtual, Online Duration: 25 Apr 2022 → 29 Apr 2022

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Conference

Conference	37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022
City	Virtual, Online
Period	25/04/22 → 29/04/22

Keywords

AUVs (autonomous underwater vehicles)
clustering
name data network (NDN)
underwater communication

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10.1145/3477314.3507033

Cite this

Seo, J., Siddiqa, A., Tariq, M. A., Saad, M. M., & Kim, D. (2022). Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 (pp. 1932-1937). (Proceedings of the ACM Symposium on Applied Computing). Association for Computing Machinery. https://doi.org/10.1145/3477314.3507033

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title = "Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN",

abstract = "The name data network is an information-based network to support futuristic internet traffic. However, the application of na{\"i}ve NDN in an underwater environment is not efficient; because it broadcasts the packets in the network that increases the network load, and decreases the communication efficiency. So, we proposed the novel cluster-based AUV communication scheme for malicious AUV detection and information dissemination within the minimum delay. It clusters the AUVs based on common interest and only enables H-AUV to exchange packets in inter/intracluster communication. The results show improvement in communication efficiency within the minimum delay, decrease network load, and also minimizes the packet loss probability.",

keywords = "AUVs (autonomous underwater vehicles), clustering, name data network (NDN), underwater communication",

author = "Junho Seo and Ayesha Siddiqa and Tariq, {Muhammad Ashar} and Saad, {Malik Muhammad} and Dongkyun Kim",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 ; Conference date: 25-04-2022 Through 29-04-2022",

year = "2022",

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doi = "10.1145/3477314.3507033",

language = "English",

series = "Proceedings of the ACM Symposium on Applied Computing",

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Seo, J, Siddiqa, A, Tariq, MA, Saad, MM & Kim, D 2022, Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN. in Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 1932-1937, 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022, Virtual, Online, 25/04/22. https://doi.org/10.1145/3477314.3507033

Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN. / Seo, Junho; Siddiqa, Ayesha; Tariq, Muhammad Ashar et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Association for Computing Machinery, 2022. p. 1932-1937 (Proceedings of the ACM Symposium on Applied Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kim, Dongkyun

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N2 - The name data network is an information-based network to support futuristic internet traffic. However, the application of naïve NDN in an underwater environment is not efficient; because it broadcasts the packets in the network that increases the network load, and decreases the communication efficiency. So, we proposed the novel cluster-based AUV communication scheme for malicious AUV detection and information dissemination within the minimum delay. It clusters the AUVs based on common interest and only enables H-AUV to exchange packets in inter/intracluster communication. The results show improvement in communication efficiency within the minimum delay, decrease network load, and also minimizes the packet loss probability.

AB - The name data network is an information-based network to support futuristic internet traffic. However, the application of naïve NDN in an underwater environment is not efficient; because it broadcasts the packets in the network that increases the network load, and decreases the communication efficiency. So, we proposed the novel cluster-based AUV communication scheme for malicious AUV detection and information dissemination within the minimum delay. It clusters the AUVs based on common interest and only enables H-AUV to exchange packets in inter/intracluster communication. The results show improvement in communication efficiency within the minimum delay, decrease network load, and also minimizes the packet loss probability.

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Cluster-based AUV communication for delay-sensitive vulnerability detection using NDN

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