Back to Search Start Over

IoT complex communication architecture for smart cities based on soft computing models.

Authors :
Li, Daming
Cai, Zhiming
Deng, Lianbing
Yao, Xiang
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Apr2019, Vol. 23 Issue 8, p2799-2812, 14p
Publication Year :
2019

Abstract

The Internet of Things technology is based on the existing Internet and related transmission network technologies. It analyzes and summarizes the data collected in the sensing layer to ensure the timeliness and security of data transmission. Internet of Things technology will have long-term development in intelligent equipment. The network layer is composed of bottom-level identification or acquisition components such as two-dimensional code, RFID tags, sensors which is responsible for the collection of underlying data and information of the Internet of Things. The sensing layer includes information devices such as communication links and information processing centers, which is responsible for processing and transmitting the collected information. At the application level, the Internet of Things realizes the intelligent application of the Internet of Things by combining industry expertise with data collection. However, multi-protocol gateways have become a bottleneck in network performance due to protocol conversion. Since IPv6 contains a large number of IP addresses, most IoT networks now use IPv6 technology, which eliminates the need for multi-protocol gateways and enables direct interconnection between different types of nodes. In this paper, the complex communication architecture of intelligent city based on soft computing model is proposed. Experimental results show that the proposed method has higher communication efficiency and transmission speed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
23
Issue :
8
Database :
Complementary Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
135535350
Full Text :
https://doi.org/10.1007/s00500-019-03827-5