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.

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