Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling

Sahabul Alam, Debashis De

    Research output: Contribution to journalArticle

    Abstract

    The progression of wireless sensor networks has been formulated a new orientation of research particularly in the monitoring and surveillance areas. Smog pollution is a threat throughout the world presently. Smog affects on public along with plants life. This article proposes a wireless sensor network based smog sensing model for a city by mimicking of biological intracellular signalling. The proposed model is designed and simulated using QualNet 7.1. The several performance features like energy consumption, signals transmission, data transmission of AODV, Bellman–Ford and IERP routing protocols have been evaluated through the proposed model. The simulation result shows that the AODV routing protocol is at least 18.73% and utmost 6.14% energy efficient than Bellman–Ford and IERP routing protocol subsequently. Finally, the merits of the proposed model have been addressed.

    LanguageEnglish
    Pages100-119
    Number of pages20
    JournalInformation Fusion
    Volume49
    DOIs
    Publication statusPublished - 1 Sep 2019

    Fingerprint

    Wireless sensor networks
    Routing protocols
    Data communication systems
    Pollution
    Energy utilization
    Monitoring

    Cite this

    @article{e16f2f4c6fc143d8bd4b98c4bbcd9e2d,
    title = "Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling",
    abstract = "The progression of wireless sensor networks has been formulated a new orientation of research particularly in the monitoring and surveillance areas. Smog pollution is a threat throughout the world presently. Smog affects on public along with plants life. This article proposes a wireless sensor network based smog sensing model for a city by mimicking of biological intracellular signalling. The proposed model is designed and simulated using QualNet 7.1. The several performance features like energy consumption, signals transmission, data transmission of AODV, Bellman–Ford and IERP routing protocols have been evaluated through the proposed model. The simulation result shows that the AODV routing protocol is at least 18.73{\%} and utmost 6.14{\%} energy efficient than Bellman–Ford and IERP routing protocol subsequently. Finally, the merits of the proposed model have been addressed.",
    keywords = "Intracellular signalling, Smog sensing model, Wireless sensor network",
    author = "Sahabul Alam and Debashis De",
    year = "2019",
    month = "9",
    day = "1",
    doi = "10.1016/j.inffus.2018.09.005",
    language = "English",
    volume = "49",
    pages = "100--119",
    journal = "Information Fusion",
    issn = "1566-2535",
    publisher = "Elsevier",

    }

    Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling. / Alam, Sahabul; De, Debashis.

    In: Information Fusion, Vol. 49, 01.09.2019, p. 100-119.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling

    AU - Alam, Sahabul

    AU - De, Debashis

    PY - 2019/9/1

    Y1 - 2019/9/1

    N2 - The progression of wireless sensor networks has been formulated a new orientation of research particularly in the monitoring and surveillance areas. Smog pollution is a threat throughout the world presently. Smog affects on public along with plants life. This article proposes a wireless sensor network based smog sensing model for a city by mimicking of biological intracellular signalling. The proposed model is designed and simulated using QualNet 7.1. The several performance features like energy consumption, signals transmission, data transmission of AODV, Bellman–Ford and IERP routing protocols have been evaluated through the proposed model. The simulation result shows that the AODV routing protocol is at least 18.73% and utmost 6.14% energy efficient than Bellman–Ford and IERP routing protocol subsequently. Finally, the merits of the proposed model have been addressed.

    AB - The progression of wireless sensor networks has been formulated a new orientation of research particularly in the monitoring and surveillance areas. Smog pollution is a threat throughout the world presently. Smog affects on public along with plants life. This article proposes a wireless sensor network based smog sensing model for a city by mimicking of biological intracellular signalling. The proposed model is designed and simulated using QualNet 7.1. The several performance features like energy consumption, signals transmission, data transmission of AODV, Bellman–Ford and IERP routing protocols have been evaluated through the proposed model. The simulation result shows that the AODV routing protocol is at least 18.73% and utmost 6.14% energy efficient than Bellman–Ford and IERP routing protocol subsequently. Finally, the merits of the proposed model have been addressed.

    KW - Intracellular signalling

    KW - Smog sensing model

    KW - Wireless sensor network

    UR - http://www.scopus.com/inward/record.url?scp=85054195467&partnerID=8YFLogxK

    U2 - 10.1016/j.inffus.2018.09.005

    DO - 10.1016/j.inffus.2018.09.005

    M3 - Article

    VL - 49

    SP - 100

    EP - 119

    JO - Information Fusion

    T2 - Information Fusion

    JF - Information Fusion

    SN - 1566-2535

    ER -