Title
A System Architecture For Intelligent Agriculture Based On Edge Computing
Abstract
Agricultural informatisation has been an extraordinary aspect in the field of agriculture due to advancement in communication technologies. Many studies have been conducted to assist production, such as Wireless Sensor Network (WSN) and Cloud Computing. However, few studies have been focused on the severe requirements of delay and energy consumption of the mobile node. In order to improve network performance, edge computing is introduced into our system architecture for intelligent agriculture. Mobile Edge Computing (MEC) is a distributed computing architecture to offload some tasks to the edge of core network. We adopt a hierarchical structure made of three layers: physical perception layer, information service layer and intelligent application layer. In addition, we further confirm an offloading model for intelligent agriculture. In this article, the state-of-the-art development in intelligent agriculture and current approach of its key technology are discussed. Their potential opportunities and challenges in proposed architecture are presented as well.
Year
DOI
Venue
2020
10.1504/IJCAT.2020.111605
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY
Keywords
DocType
Volume
edge computing, WSN, mobile edge computing, intelligent agriculture
Journal
64
Issue
ISSN
Citations 
2
0952-8091
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Li Li17624.03
Qian Wang210822.12
Bo-Qun Li300.34