Workshop Networks Integration Using Mobile Intelligence in Smart Factories

被引:28
作者
Luo, Yun [1 ]
Duan, Ying [1 ,3 ]
Li, Wenfeng [2 ]
Pace, Pasquale [4 ]
Fortino, Giancarlo [4 ]
机构
[1] Wuhan Univ Technol, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ Technol, Sch Logist Engn, Wuhan, Hubei, Peoples R China
[3] Zhengzhou Univ Aeronaut, Zhengzhou, Henan, Peoples R China
[4] Univ Calabria, Calabria, Italy
基金
中国国家自然科学基金;
关键词
WIRELESS SENSOR;
D O I
10.1109/MCOM.2018.1700618
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In a smart factory environment, a much larger amount of data is transmitted in the workshop networks bringing big challenges to data transfer capability and energy usage efficiency. In the workshop, two main networks (i.e., wired/wireless fieldbus networks and wireless sensor networks) are usually used to collect and transmit data separately; thus, this work proposes to integrate these two networks by also taking advantage of the existing mobile intelligences in smart factories, such as automatic guided vehicles, to implement a novel data and materials delivery scheme well suited for modern industrial wireless sensor networks (IWSNs). In particular, data collected by sensor nodes can be transferred to nearby fieldbus nodes first; then all data in fieldbus nodes can be handled according to different priorities. High-priority data are still transferred to the central base station through fieldbus while low-priority data are delivered through mobile intelligence by solving a materials and data delivery problem. Simulation experiments demonstrate how the proposed approach, running within the IWSN, significantly increases data delivery efficiency, also achieving better energy usage by five times compared to separate networks without any mobile intelligence support.
引用
收藏
页码:68 / 75
页数:8
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