Research on Low Carbon Logistics System Based on Internet of Things

ICLEM 2012 ◽  
2012 ◽  
Author(s):  
Fangjie Hu ◽  
Xiaoqiang Zhang ◽  
Gang Tian
Keyword(s):  
Internet Of Things ◽  
Low Carbon ◽  
Logistics System

System dynamics analysis for an Internet-of-Things-enabled production logistics system

2016 ◽  
Vol 55 (9) ◽  
pp. 2622-2649 ◽  
Author(s):  
Ting Qu ◽  
Matthias Thürer ◽  
Junhao Wang ◽  
Zongzhong Wang ◽  
Huan Fu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
System Dynamics ◽  
Dynamics Analysis ◽  
Logistics System ◽  
Production Logistics

Internet of Things System Optimization Design of Logistics Based on Improved LEACH Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 4004-4008
Author(s):  
Xing Hua Lu
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Optimization Design ◽  
Simulation Analysis ◽  
Routing Algorithm ◽  
System Optimization ◽  
Automatic Identification ◽  
Information Transmission Problem ◽  
Logistics System ◽  
Frequency Identification

In the logistics system, the Internet of things information transmission problem is researched. The ZigBee, 3G technologies are fused in the radio frequency identification (RFID), a set of logistics networking platform is designed based on 3G-ZigBee, with the functions such as multipoint automatic identification, real-time positioning, wireless network and RFID. The logistics system is designed, the routing algorithm of logistics system is analyzed, the improved LEACH algorithm is proposed, the NS component is used for the simulation analysis. Through the simulation results, the best balance point between energy consumption and network density is obtained, the parameters of the logistics system are optimized. Finally, software design idea and workflow are presented, the purpose of the remote control is achieved.

Big Data Clustering Analysis Algorithm for Internet of Things Based on K-Means

2019 ◽  
Vol 10 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Zhanqiu Yu
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Clustering Analysis ◽  
Data Clustering ◽  
Clustering Algorithm ◽  
Prototype System ◽  
Point Selection ◽  
Logistics System ◽  
Relational Schema ◽  
Analysis Algorithm

To explore the Internet of things logistics system application, an Internet of things big data clustering analysis algorithm based on K-mans was discussed. First of all, according to the complex event relation and processing technology, the big data processing of Internet of things was transformed into the extraction and analysis of complex relational schema, so as to provide support for simplifying the processing complexity of big data in Internet of things (IOT). The traditional K-means algorithm was optimized and improved to make it fit the demand of big data RFID data network. Based on Hadoop cloud cluster platform, a K-means cluster analysis was achieved. In addition, based on the traditional clustering algorithm, a center point selection technology suitable for RFID IOT data clustering was selected. The results showed that the clustering efficiency was improved to some extent. As a result, an RFID Internet of things clustering analysis prototype system is designed and realized, which further tests the feasibility.

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