scholarly journals The Design of internet Of Things Solutions for National Fishery Logistics System

2019 ◽  
Author(s):  
Muhammad Takdir Muslihi ◽  
Andini Dani Achmad
Keyword(s):  
Internet Of Things ◽  
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.

scholarly journals Research on the Distribution System Simulation of Large Company’s Logistics under Internet of Things Based on Traveling Salesman Problem Solution

2016 ◽  
Vol 16 (5) ◽  
pp. 78-87 ◽  
Author(s):  
Liu Hui ◽  
Chen Min
Keyword(s):  
Internet Of Things ◽  
Traveling Salesman Problem ◽  
Distribution System ◽  
Simulation Method ◽  
Traveling Salesman ◽  
Problem Solution ◽  
System Operation ◽  
Logistics System ◽  
Operation Efficiency ◽  
Real Time Traffic

Abstract This paper is research on the distribution system’s simulation of large company’s logistics under Internet of Things (IoT) based on traveling salesman problem solution. The authors claim that the real-time traffic synergy is better than traditional distribution strategy in general, verifying and comparing the simulation results in different situations of goals and starting time distribution. The simulation method used in this paper makes the result more scientific and reliable. The simulation truly reflects the degree of influence of information synergy to improve the efficiency of logistics system. The information synergy had an obvious enhancing effect on system operation efficiency. Taking full advantage of the value of information and improving the information synergy to the best level have irreplaceable effect on system operation efficiency.

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