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    IoT 스마트 환경 관리 시스템의 구조 설계 및 시나리오 기반 분석 = Structural Design and Scenario-based Analysis of IoT Smart Environment Management System

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    https://www.riss.kr/link?id=A110174507

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    This paper presented a system structure design to improve the existing IoT environment management system, focusing on the fact that it has a cloud-centered structure, network delays, system scalability issues that complicate connection management between sensor nodes and servers when the number of devices increases, and management complexity issues such as changing the entire structure when adding new service functions because the role separation between system components is not clear. The system structure presented in this paper constitutes the entire system by interconnecting the sensor layer, the network layer, the server layer, and the service layer while performing independent functions. Through this system configuration, network delays were mitigated by mitigating data concentration to central servers and unnecessary data transmission, and system scalability was also supplemented by separating service layers. As a result of scenario-based analysis to examine the applicability of the system structure restricted in this paper, it was confirmed that the efficiency of system operation can be improved by hierarchically processing the entire process from collecting environmental information to providing user services. In future research, if the proposed system is applied to the actual environment and environmental treatment measures combined with various technologies such as artificial intelligence are considered, the practicality and scope of use of IoT environment management systems can be further expanded.
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    This paper presented a system structure design to improve the existing IoT environment management system, focusing on the fact that it has a cloud-centered structure, network delays, system scalability issues that complicate connection management betw...

    This paper presented a system structure design to improve the existing IoT environment management system, focusing on the fact that it has a cloud-centered structure, network delays, system scalability issues that complicate connection management between sensor nodes and servers when the number of devices increases, and management complexity issues such as changing the entire structure when adding new service functions because the role separation between system components is not clear. The system structure presented in this paper constitutes the entire system by interconnecting the sensor layer, the network layer, the server layer, and the service layer while performing independent functions. Through this system configuration, network delays were mitigated by mitigating data concentration to central servers and unnecessary data transmission, and system scalability was also supplemented by separating service layers. As a result of scenario-based analysis to examine the applicability of the system structure restricted in this paper, it was confirmed that the efficiency of system operation can be improved by hierarchically processing the entire process from collecting environmental information to providing user services. In future research, if the proposed system is applied to the actual environment and environmental treatment measures combined with various technologies such as artificial intelligence are considered, the practicality and scope of use of IoT environment management systems can be further expanded.

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