Internet-of-Things Monitoring System of Robot Welding Based on Software Defined Networking

被引：0

作者：

Qin Ke ^{[1
]}

Liu Xiaogang ^{[1
]}

机构：

[1] Guilin Univ Aerosp Technol, Guangxi Colleges & Univ Key Lab Breeding Base Rob, Guilin, Peoples R China

来源：

2016 FIRST IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND THE INTERNET (ICCCI 2016) | 2016年

关键词：

software defined network (SDN); Internet of Things(IOT); glowworm swarm optimization (GSO); load balance;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the heterogeneous characteristics and enormous connections of the underlying networks in Internet of Things(IOT), we proposed a SDN-IOT architecture including physical layer, control layer and application layer in this paper. Based on this architecture, we designed a robot welding monitoring system. Considering a large number of different QoS requirements of data flows in IOT, we proposed a kind of load balance routing algorithm based on Glowworm Swarm Optimization--GSOR. In GSOR, the luciferin updating rules of the resident glowworm is mapped to a function with several parameters which reflect the network state and Qos requirements of data flows. The simulation results show that GSOR is able to plan routes according to the given Qos requirements of a data flow and it also outperforms ECMP protocol.

引用

页码：112 / 117

页数：6

共 9 条

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