A smart congestion control mechanism for the green IoT sensor-enabled information-centric networking

Rungrot Sukjaimuk, Ngoc quang Nguyen, Takuro Sato

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    Information-Centric Networking (ICN) is a new Internet architecture design, which is considered as the global-scale Future Internet (FI) paradigm. Though ICN offers considerable benefits over the existing IP-based Internet architecture, its practical deployment in real life still has many challenges, especially in the case of high congestion and limited power in a sensor enabled-network for the Internet of Things (IoT) era. In this paper, we propose a smart congestion control mechanism to diminish the network congestion rate, reduce sensor power consumptions, and enhance the network performance of ICN at the same time to realize a complete green and efficient ICN-based sensor networking model. The proposed network system uses the chunk-by-chunk aggregated packets according to the content popularity to diminish the number of exchanged packets needed for data transmission. We also design the sensor power-based cache management strategy, and an adaptive Markov-based sensor scheduling policy with selective sensing algorithm to further maximize power savings for the sensors. The evaluation results using ndnSIM (a widely-used ICN simulator) show that the proposed model can provide higher network performance efficiency with lower energy consumption for the future Internet by achieving higher throughput with higher cache hit rate and lower Interest packet drop rate as we increase the number of IoT sensors in ICN.

    Original languageEnglish
    Article number2889
    JournalSensors (Switzerland)
    Volume18
    Issue number9
    DOIs
    Publication statusPublished - 2018 Sep 1

    Fingerprint

    congestion
    Internet
    sensors
    Sensors
    Network performance
    Information Services
    scheduling
    Data communication systems
    energy consumption
    data transmission
    Sensor networks
    Internet of things
    Electric power utilization
    Energy utilization
    simulators
    Simulators
    Scheduling
    Throughput
    evaluation

    Keywords

    • Future internet (FI)
    • Green networking
    • Information-centric networking (ICN)
    • Internet of things (IoT)
    • Next generation communications
    • Wireless sensor networking (WSN)

    ASJC Scopus subject areas

    • Analytical Chemistry
    • Atomic and Molecular Physics, and Optics
    • Biochemistry
    • Instrumentation
    • Electrical and Electronic Engineering

    Cite this

    A smart congestion control mechanism for the green IoT sensor-enabled information-centric networking. / Sukjaimuk, Rungrot; Nguyen, Ngoc quang; Sato, Takuro.

    In: Sensors (Switzerland), Vol. 18, No. 9, 2889, 01.09.2018.

    Research output: Contribution to journalArticle

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