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BE-RPL: Balanced-load and Energy-efficient RPL

by S. Jagir Hussain*, M. Roopa

Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India

* Corresponding Author: S. Jagir Hussain. Email: email

Computer Systems Science and Engineering 2023, 45(1), 785-801. https://doi.org/10.32604/csse.2023.030393

Abstract

Internet of Things (IoT) empowers imaginative applications and permits new services when mobile nodes are included. For IoT-enabled low-power and lossy networks (LLN), the Routing Protocol for Low-power and Lossy Networks (RPL) has become an established standard routing protocol. Mobility under standard RPL remains a difficult issue as it causes continuous path disturbance, energy loss, and increases the end-to-end delay in the network. In this unique circumstance, a Balanced-load and Energy-efficient RPL (BE-RPL) is proposed. It is a routing technique that is both energy-efficient and mobility-aware. It responds quicker to link breakage through received signal strength-based mobility monitoring and selecting a new preferred parent reactively. The proposed system also implements load balancing among stationary nodes for leaf node allocation. Static nodes with more leaf nodes are restricted from participating in the election for a new preferred parent. The performance of BE-RPL is assessed using the COOJA simulator. It improves the energy use, network control overhead, frame acknowledgment ratio, and packet delivery ratio of the network.

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APA Style
Jagir Hussain, S., Roopa, M. (2023). BE-RPL: balanced-load and energy-efficient RPL. Computer Systems Science and Engineering, 45(1), 785-801. https://doi.org/10.32604/csse.2023.030393
Vancouver Style
Jagir Hussain S, Roopa M. BE-RPL: balanced-load and energy-efficient RPL. Comput Syst Sci Eng. 2023;45(1):785-801 https://doi.org/10.32604/csse.2023.030393
IEEE Style
S. Jagir Hussain and M. Roopa, “BE-RPL: Balanced-load and Energy-efficient RPL,” Comput. Syst. Sci. Eng., vol. 45, no. 1, pp. 785-801, 2023. https://doi.org/10.32604/csse.2023.030393



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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