Journal
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN
Volume 24, Issue 1, Pages 39-46Publisher
NATL TAIWAN OCEAN UNIV
DOI: 10.6119/JMST-016-0125-6
Keywords
internet of things; monitoring system; deployment of sensors; balance degree; multi-objective optimization
Categories
Funding
- Research on operation cost control of multi stage logistics system in container port of Project of National Natural Science Foundation of China [71301101]
- China Transportation Depaltment Construction Project [2015328810160]
Ask authors/readers for more resources
In order to solve the conflict between higher monitoring quality and lower application costs of the internet of the things (IoT) monitoring system in ports, a mixed integer non-linear programming model was built. Various key factors, such as network scale, cost, representation level, and the deployment of nodes for the balance degree of the IoT, are comprehensively taken into consideration in this programming model. Furthermore, the quantity and deployment solution was solved through a genetic algorithm; in addition, the selection of nodes was evaluated. Simulation results show that the deployment solution is conducive to solve the quality-cost conflict to some extent. It is also of theoretical significance for the IoT research and design of the monitoring system.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
