An energy-conserving depth-based layering MAC protocol for underwater sensor networks

Faisal Alfouzan, Alireza Shahrabi, Seyed Mohammad Ghoreyshi, Tuleen Boutaleb

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Underwater sensor networks (UWSNs) are effective tools for discovering and observing the underwater environment. Due to the unique characteristics of its acoustic channels such as long propagation delay, limited bandwidth, and high bit error rate, most contention-based Media Access Control (MAC) protocols are usually costly. As a result, both contention-based MAC protocols with and without RTS/CTS schemes do not perform as efficiently as their achieved performance in terrestrial networks. A collision-free approach is increasingly considered to more likely achieve a better performance by preventing any possibility of collisions in order to improve the energy efficiency and throughput across the network. In this paper, we propose a novel energy-conserving and collision-free depth-based layering MAC protocol, called DL-MAC, for UWSNs. Through multiple layers and distributed clustering approach, DL-MAC successfully schedules reception and transmission periods according to nodes priority in the network. It also addresses the spatial-temporal uncertainty, near-far, and hidden/exposed terminal problems. Our extensive simulation study shows that DL-MAC outperforms previously reported protocols in terms of throughput, packet delivery ratio, energy consumption, and fairness under varying offered loads.
    Original languageEnglish
    Title of host publication2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall
    PublisherIEEE
    Number of pages6
    ISBN (Electronic)9781538663585
    DOIs
    Publication statusPublished - 15 Apr 2019

    Fingerprint

    Medium access control
    Sensor networks
    Network protocols
    Throughput
    Bit error rate
    Energy efficiency
    Energy utilization
    Acoustics
    Bandwidth

    Keywords

    • underwater sensor networks
    • media access control (MAC)
    • depth-based scheduling
    • multiple layer division
    • cluster-based approach
    • collision-free MAC protocol

    Cite this

    Alfouzan, F., Shahrabi, A., Ghoreyshi, S. M., & Boutaleb, T. (2019). An energy-conserving depth-based layering MAC protocol for underwater sensor networks. In 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall IEEE. https://doi.org/10.1109/VTCFall.2018.8690910
    Alfouzan, Faisal ; Shahrabi, Alireza ; Ghoreyshi, Seyed Mohammad ; Boutaleb, Tuleen. / An energy-conserving depth-based layering MAC protocol for underwater sensor networks. 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall. IEEE, 2019.
    @inproceedings{9293b54dc3944f4097ee7ad665a588b1,
    title = "An energy-conserving depth-based layering MAC protocol for underwater sensor networks",
    abstract = "Underwater sensor networks (UWSNs) are effective tools for discovering and observing the underwater environment. Due to the unique characteristics of its acoustic channels such as long propagation delay, limited bandwidth, and high bit error rate, most contention-based Media Access Control (MAC) protocols are usually costly. As a result, both contention-based MAC protocols with and without RTS/CTS schemes do not perform as efficiently as their achieved performance in terrestrial networks. A collision-free approach is increasingly considered to more likely achieve a better performance by preventing any possibility of collisions in order to improve the energy efficiency and throughput across the network. In this paper, we propose a novel energy-conserving and collision-free depth-based layering MAC protocol, called DL-MAC, for UWSNs. Through multiple layers and distributed clustering approach, DL-MAC successfully schedules reception and transmission periods according to nodes priority in the network. It also addresses the spatial-temporal uncertainty, near-far, and hidden/exposed terminal problems. Our extensive simulation study shows that DL-MAC outperforms previously reported protocols in terms of throughput, packet delivery ratio, energy consumption, and fairness under varying offered loads.",
    keywords = "underwater sensor networks, media access control (MAC) , depth-based scheduling , multiple layer division , cluster-based approach , collision-free MAC protocol",
    author = "Faisal Alfouzan and Alireza Shahrabi and Ghoreyshi, {Seyed Mohammad} and Tuleen Boutaleb",
    note = "Acceptance and AAM requested x 2 ET 12/7/18",
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    Alfouzan, F, Shahrabi, A, Ghoreyshi, SM & Boutaleb, T 2019, An energy-conserving depth-based layering MAC protocol for underwater sensor networks. in 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall. IEEE. https://doi.org/10.1109/VTCFall.2018.8690910

    An energy-conserving depth-based layering MAC protocol for underwater sensor networks. / Alfouzan, Faisal; Shahrabi, Alireza; Ghoreyshi, Seyed Mohammad; Boutaleb, Tuleen.

    2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall. IEEE, 2019.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    TY - GEN

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    AU - Alfouzan, Faisal

    AU - Shahrabi, Alireza

    AU - Ghoreyshi, Seyed Mohammad

    AU - Boutaleb, Tuleen

    N1 - Acceptance and AAM requested x 2 ET 12/7/18

    PY - 2019/4/15

    Y1 - 2019/4/15

    N2 - Underwater sensor networks (UWSNs) are effective tools for discovering and observing the underwater environment. Due to the unique characteristics of its acoustic channels such as long propagation delay, limited bandwidth, and high bit error rate, most contention-based Media Access Control (MAC) protocols are usually costly. As a result, both contention-based MAC protocols with and without RTS/CTS schemes do not perform as efficiently as their achieved performance in terrestrial networks. A collision-free approach is increasingly considered to more likely achieve a better performance by preventing any possibility of collisions in order to improve the energy efficiency and throughput across the network. In this paper, we propose a novel energy-conserving and collision-free depth-based layering MAC protocol, called DL-MAC, for UWSNs. Through multiple layers and distributed clustering approach, DL-MAC successfully schedules reception and transmission periods according to nodes priority in the network. It also addresses the spatial-temporal uncertainty, near-far, and hidden/exposed terminal problems. Our extensive simulation study shows that DL-MAC outperforms previously reported protocols in terms of throughput, packet delivery ratio, energy consumption, and fairness under varying offered loads.

    AB - Underwater sensor networks (UWSNs) are effective tools for discovering and observing the underwater environment. Due to the unique characteristics of its acoustic channels such as long propagation delay, limited bandwidth, and high bit error rate, most contention-based Media Access Control (MAC) protocols are usually costly. As a result, both contention-based MAC protocols with and without RTS/CTS schemes do not perform as efficiently as their achieved performance in terrestrial networks. A collision-free approach is increasingly considered to more likely achieve a better performance by preventing any possibility of collisions in order to improve the energy efficiency and throughput across the network. In this paper, we propose a novel energy-conserving and collision-free depth-based layering MAC protocol, called DL-MAC, for UWSNs. Through multiple layers and distributed clustering approach, DL-MAC successfully schedules reception and transmission periods according to nodes priority in the network. It also addresses the spatial-temporal uncertainty, near-far, and hidden/exposed terminal problems. Our extensive simulation study shows that DL-MAC outperforms previously reported protocols in terms of throughput, packet delivery ratio, energy consumption, and fairness under varying offered loads.

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    Alfouzan F, Shahrabi A, Ghoreyshi SM, Boutaleb T. An energy-conserving depth-based layering MAC protocol for underwater sensor networks. In 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall. IEEE. 2019 https://doi.org/10.1109/VTCFall.2018.8690910