A New Bio-Inspired for Cooperative Data Transmission of IoT

被引：4
作者：
Aripriharta [1 ]
Hao, Wang Zhi [2 ]
Muladi [1 ]
Horng, Gwo-Jiun [3 ]
Jong, Gwo-Jia [2 ]
机构：
[1] Univ Negeri Malang, Dept Elect Engn, Malang 65144, Indonesia
[2] Natl Kaohsiung Univ Sci & Technol, Dept Elect Engn, Kaohsiung 80778, Taiwan
[3] Southern Taiwan Univ Sci & Technol, Dept Elect & Comp Engn, Tainan 71005, Taiwan
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Wireless sensor networks; MIMO communication; Data communication; Routing; Energy consumption; Testing; Hardware; Binary testing; cooperative nodes; CMIMO; IoT; QHBM; WIRELESS SENSOR NETWORKS; PERFORMANCE ANALYSIS; ENERGY EFFICIENCY; MIMO; OPTIMIZATION; ALGORITHM; PROTOCOL; SCHEME; CLUSTER; LEACH;
D O I：
10.1109/ACCESS.2020.3021507
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：161884 / 161893
页数：10
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