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Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things

D. Kothandaraman1,*, M. Manickam2, A. Balasundaram3, D. Pradeep4, A. Arulmurugan5, Arun Kumar Sivaraman6, Sita Rani7, Barnali Dey8, R. Balakrishna9

1 School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, 506371, India
2 Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, 603203, India
3 School of Computer Science and Engineering, Center for Cyber Physical Systems, Vellore Institute of Technology (VIT), Chennai, Tamil Nadu, 600127, India
4 Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, 639113, India
5 Department of Computer Science and Engineering, Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, 522213, India
6 School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamil Nadu, 600127, India
7 Department of Computer Science and Engineering, Gulzar Group of Institutions, Khanna, Punjab, 141401, India
8 Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, 737136, India
9 Department of Computer science and Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, 600117, India

* Corresponding Author: D. Kothandaraman. Email: email

Intelligent Automation & Soft Computing 2022, 34(1), 655-666. https://doi.org/10.32604/iasc.2022.024134

Abstract

This work implements a Decentralized Links Failure Prevention (DLFP) routing algorithm to promote enhanced and efficient Internet of Things (IoT). The work increases the mobility as well as an opportunity for loss of IoT node meeting links due to both mobility and blockers/interferers. The proposed algorithm overcomes loss issues as well as works in dynamically allocating alternate route from other IoT nodes available in near and selecting for efficient route in the network. When the link fails, bandwidth is reduced and coverage area problems for packets sending from source to destination is managed. The proposed algorithm works with light-weight wireless mesh based route handling techniques. In such case, reduced link failure, removal of route discovery latency, communication cost and control overheads, energy consumptions and network life time are to be handled with care. To address these issues, the proposed algorithm enhances the Packet Delivery Ratio (PDR) as well as transmission packet efficiently received through destination node. The ability of Dynamic Alternate Routing (DAR) to relay node handling capabilities and to improve the communication link availability of IoT nodes has ultimately increased the PDR. Simulation work was done using Network Simulator 3 (NS3) and the results show that the performance is better when compared with existing Dynamic Source Routing (DSR) and Energy Efficient Delay Tolerant Routing (EEDTR) algorithm.

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Cite This Article

APA Style
Kothandaraman, D., Manickam, M., Balasundaram, A., Pradeep, D., Arulmurugan, A. et al. (2022). Decentralized link failure prevention routing (DLFPR) algorithm for efficient internet of things. Intelligent Automation & Soft Computing, 34(1), 655-666. https://doi.org/10.32604/iasc.2022.024134
Vancouver Style
Kothandaraman D, Manickam M, Balasundaram A, Pradeep D, Arulmurugan A, Sivaraman AK, et al. Decentralized link failure prevention routing (DLFPR) algorithm for efficient internet of things. Intell Automat Soft Comput . 2022;34(1):655-666 https://doi.org/10.32604/iasc.2022.024134
IEEE Style
D. Kothandaraman et al., “Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things,” Intell. Automat. Soft Comput. , vol. 34, no. 1, pp. 655-666, 2022. https://doi.org/10.32604/iasc.2022.024134



cc Copyright © 2022 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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