A New Bio-Inspired for Cooperative Data Transmission of IoT

Aripriharta; Wang Zhi Hao; Muladi; Gwo-Jiun Horng; Gwo-Jia Jong

doi:10.1109/ACCESS.2020.3021507

IEEE Access (Jan 2020)

A New Bio-Inspired for Cooperative Data Transmission of IoT

Aripriharta,
Wang Zhi Hao,
Muladi,
Gwo-Jiun Horng,
Gwo-Jia Jong

Affiliations

Aripriharta: ORCiD; Department of Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia
Wang Zhi Hao: ORCiD; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Muladi: ORCiD; Department of Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia
Gwo-Jiun Horng: Department of Electronics and Computer Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan
Gwo-Jia Jong: Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

DOI: https://doi.org/10.1109/ACCESS.2020.3021507
Journal volume & issue: Vol. 8
pp. 161884 – 161893

Abstract

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The original queen honey bee migration (QHBM) was developed for independent action on solving efficient mobile routing in WSN. In this article, we enhanced the original QHBM using Binary testing injection on the cooperative node's selection on IoT system. We also added a new cost function for making nodes' coalition, implementing the threshold value for modified QHBM (mQHBM for short), and demonstrating the mQHBM-CMIMO in fair comparison with another previous algorithms. Our research portrayed that mQHBM can perform better than its competitors such as Fuzzy- BT, Neuro Fuzzy and PSO in terms of network lifetime and the end to end delay.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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