Paper Info
Title
Distributed Iot Monitoring Model Using Multi-Core Sensing Function Integration
Abstract
Agricultural IoT technology realizes the technology of precise, intelligent, and scientific management of agricultural production. Accurate perception and efficient transmission of farmland data is the basis for precision and smart agriculture. Based on the consideration of WSN distributed monitoring sensor nodes, this paper designs a multi-core sensing agricultural Internet of Things monitoring system based on the low efficiency of existing single-core computing and the inability to adapt to massive sensing data node operations. Multi-core data fusion was simulated and analyzed. Firstly, a method for constructing key value subspaces based on logical landmarks is proposed. The node set maintained by the subspace adds local physical location features to coordinate node discovery and routing. Compared with the traditional key value space, the subspace has a higher system priority, which makes the route local priority, thus realizing traffic localization. The simulation results show that the distributed agricultural network data aggregation algorithm based on multi-core perception can significantly reduce the energy consumption of sensor nodes in WSN, prolong the service life of WSN, and greatly improve the computational efficiency and data accuracy.
Year
DOI
Venue
2021
10.3233/JIFS-189323
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Agricultural IoT, multi-core sensing, single-core, WSN
Journal
40
Issue
ISSN
Citations 
2
1064-1246
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Feiyan Lou100.34
Depeng Kong200.34
ZhiWei Wang35914.96