
The application of mobile edge computing in agricultural water monitoring system
Author(s) -
Dehui Fan,
Shan Gao
Publication year - 2018
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/191/1/012015
Subject(s) - pillar , agriculture , process (computing) , scheme (mathematics) , computer science , enhanced data rates for gsm evolution , edge computing , internet of things , agricultural productivity , management system , telecommunications , computer security , engineering , operations management , ecology , mathematical analysis , mathematics , structural engineering , biology , operating system
The intelligent construction and development of traditional agricultural water production process has become an important pillar industry in China’s coastal areas. With the application of IoT technology, the agricultural water monitoring process can manage the data collected by the sensor system in real time. In this paper, a data link management solution is proposed in combination with advanced Mobile Edge Computing (MEC) technology, which effectively realizes the sinking of business anchor points and greatly reduces the business response time. The practical application shows that the scheme realizes the network and intelligence of agricultural water monitoring system management, and has broad market prospect.