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Hopping-Aware Cluster Header Capability for Sensor Relocation in Mobile IoT Networks

by Moonseong Kim1, Jaeyoung Park2, Young-Joon Kim3, Woochan Lee4,*

1 Department of IT Convergence Software, Seoul Theological University, Bucheon, 14754, Korea
2 Department of Computer Engineering, Hongik University, Seoul, 04066, Korea
3 Department of Electronic Engineering, Gachon University, Seongnam, 13120, Korea
4 Department of Electrical Engineering, Incheon National University, Incheon, 22012, Korea

* Corresponding Author: Woochan Lee. Email: email

Intelligent Automation & Soft Computing 2023, 36(2), 1613-1625. https://doi.org/10.32604/iasc.2023.033081

Abstract

Mobile sensor nodes such as hopping sensors are of critical importance in data collection. However, the occurrence of sensing holes is unavoidable due to the energy limitation of the nodes. Thus, it is evident that the relocation of mobile sensors is the most desirable method to recover the sensing holes. The previous research conducted by the authors so far demonstrated the most realistic hopping sensor relocation scheme, which is suitable for the distributed environment. In previous studies, the cluster header plays an essential role in detecting the sensing hole and requesting the neighboring cluster to recover the sensing hole that occurred in the sensor node. However, the limitations of the cluster header in the previously proposed relocation protocol are not fully considered. Because the cluster header jumps more frequently than non-header nodes, its energy consumption is relatively high compared to other nodes. Therefore, it is most likely to lead to header node failure and can lead to data loss on the network. In this paper, the jumping ability and energy consumption of the cluster header are seriously considered. Additional ability to replace cluster headers in case of failure is also implemented. Simulation results show that the data collection time can be further increased, which demonstrates the validity of the proposed algorithms.

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APA Style
Kim, M., Park, J., Kim, Y., Lee, W. (2023). Hopping-aware cluster header capability for sensor relocation in mobile iot networks. Intelligent Automation & Soft Computing, 36(2), 1613-1625. https://doi.org/10.32604/iasc.2023.033081
Vancouver Style
Kim M, Park J, Kim Y, Lee W. Hopping-aware cluster header capability for sensor relocation in mobile iot networks. Intell Automat Soft Comput . 2023;36(2):1613-1625 https://doi.org/10.32604/iasc.2023.033081
IEEE Style
M. Kim, J. Park, Y. Kim, and W. Lee, “Hopping-Aware Cluster Header Capability for Sensor Relocation in Mobile IoT Networks,” Intell. Automat. Soft Comput. , vol. 36, no. 2, pp. 1613-1625, 2023. https://doi.org/10.32604/iasc.2023.033081



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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