Fast data acquisition algorithm for remote monitoring system of smart home

Abstract

The traditional data acquisition algorithm has two shortcomings in random acquisition order and fixed collection period, which leads to high distortion of data acquisition. To this end, a new dynamic hierarchical and distributed data acquisition algorithm is proposed for the remote monitoring system of smart home. Firstly, the architecture of the remote monitoring system for smart home is designed. Then mobile agent is used to achieve the dynamic intra-domain acquisition scheme based on the topological order of joint points, and a data acquisition algorithm of inter-domain based on the trend of measured data to adjust the acquisition cycle in real time is also designed. The algorithm reduces the number of sampling times when the object is changed slowly, saves the system resources, and increases the number of sampling when the changes of acquisition objects are violent. It can accurately reflect the changes of the acquisition objects, and improves the general hierarchical and distributed data acquisition algorithm. The experimental results show that the proposed algorithm can quickly realize the data acquisition of the remote monitoring system in smart home, and ensure the reliability of the data acquisition results.

KEYWORDS:

• Smart home
• remote monitoring system
• data
• fast
• collection

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Jie Zhang

Jie Zhang, (1979), female, lecturer, bachelor’s degree, She graduated from the Electronics and Information System of Chongqing Normal University. She is currently working at the School of Information Engineering of Sichuan Agricultural University. Her main research areas are Internet of Things applications and big data analysis. He has published 2 articles and participated in 2 research projects.

Haibo Pu

Haibo Pu, (1973), male, Professor, bachelor’s degree. He graduated from Chengdu University of Technology, majoring in computer applications. Currently working in the School of Information Engineering, Sichuan Agricultural University, the main research areas of Internet of Things applications, artificial intelligence. He has published 3 papers. Participated in one research project: artificial life and artificial ecological model simulation research based on distributed algorithm, key project of Sichuan Provincial Department of Education. E-mail: [email protected]