An energy-efficient artificial bee colony-based clustering in the internet of things

被引：32
作者：
Yousefi, Shamim [1 ]
Derakhshan, Farnaz [1 ]
Aghdasi, Hadi S. [1 ]
Karimipour, Hadis [2 ]
机构：
[1] Univ Tabriz, Dept Elect & Comp Engn, Tabriz, Iran
[2] Univ Guelph, Sch Engn, Guelph, ON, Canada
来源：
COMPUTERS & ELECTRICAL ENGINEERING | 2020年 / 86卷
关键词：
Artificial bee colony (ABC) algorithm; Clustering; Data transmission delay; Energy efficiency; Internet of things (IoT); Wireless communication; ALGORITHM;
D O I：
10.1016/j.compeleceng.2020.106733
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wireless communication on the Internet of Things (IoT) requires context-aware data transmission protocols. Developing an energy-efficient clustering mechanism is the primary challenge in data transmission over IoT. The existing approaches struggle with the short lifetime of IoT, imbalance load distribution, and high transmission delay. This paper proposes a novel cluster-head selection and clustering mechanism on IoT. It is composed of two main phases. The first phase selects the near-optimal cluster-heads using Artificial Bee Colony (ABC) algorithm. Performance criteria include the residual energy of the devices, the number of neighbors, Euclidean distance between devices and the sink, and Euclidean distance between each device and its neighbors. The principal objective of the second phase is to group devices into some clusters based on Euclidean distance between each cluster-head and its members, and the data volume generated by clusters. Simulation results verify that our mechanism improves energy consumption, lifetime, and transmission delay. (C) 2020 Elsevier Ltd. All rights reserved.
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页数：14
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