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Elastic Hop Count Trickle Timer Algorithm in Internet of Things

Author

Listed:
  • Raja Masadeh

    (Department of Computer Science, Information Technology Faculty, The World Islamic Sciences and Education University, Amman P.O. Box 1101, Jordan)

  • Bayan AlSaaidah

    (Department of Computer Science, Prince Abdullah bin Ghazi Faculty of Information Technology and Communications, Al-Balqa Applied University, Al-Salt P.O. Box 19117, Jordan)

  • Esraa Masadeh

    (Independent Researcher, Amman P.O. Box 1101, Jordan)

  • Moh’d Rasoul Al-Hadidi

    (Department of Electrical Power Engineering, Department of Computer Engineering, Faculty of Engineering, Al-Balqa Applied University, Al-Salt P.O. Box 19117, Jordan)

  • Omar Almomani

    (Department of Computer Network and Information Systems, Information Technology Faculty, The World Islamic Sciences and Education University, Amman P.O. Box 11947, Jordan)

Abstract

The Internet of Things (IoT) is a technology that allows machines to communicate with each other without the need for human interaction. Usually, IoT devices are connected via a network. A wide range of network technologies are required to make the IoT concept operate successfully; as a result, protocols at various network layers are used. One of the most extensively used network layer routing protocols is the Routing Protocol for Low Power and Lossy Networks (RPL). One of the primary components of RPL is the trickle timer method. The trickle algorithm directly impacts the time it takes for control messages to arrive. It has a listen-only period, which causes load imbalance and delays for nodes in the trickle algorithm. By making the trickle timer method run dynamically based on hop count, this research proposed a novel way of dealing with the difficulties of the traditional algorithm, which is called the Elastic Hop Count Trickle Timer Algorithm. Simulation experiments have been implemented using the Contiki Cooja 3.0 simulator to study the performance of RPL employing the dynamic trickle timer approach. Simulation results proved that the proposed algorithm outperforms the results of the traditional trickle algorithm, dynamic algorithm, and e-trickle algorithm in terms of consumed power, convergence time, and packet delivery ratio.

Suggested Citation

  • Raja Masadeh & Bayan AlSaaidah & Esraa Masadeh & Moh’d Rasoul Al-Hadidi & Omar Almomani, 2022. "Elastic Hop Count Trickle Timer Algorithm in Internet of Things," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12417-:d:929287
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    References listed on IDEAS

    as
    1. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    2. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
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    Cited by:

    1. Mohammed Rizwanullah & Hadeel Alsolai & Mohamed K. Nour & Amira Sayed A. Aziz & Mohamed I. Eldesouki & Amgad Atta Abdelmageed, 2023. "Hybrid Muddy Soil Fish Optimization-Based Energy Aware Routing in IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 15(10), pages 1-15, May.

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