Validation of IoT Infrastructure for the Construction of Smart Cities Solutions on Living Lab Platform

Mora-Sanchez, Olga B.; López-Neri, Emmanuel; Cedillo-Elias, E. Julieta; Aceves-Martinez, Emmanuel; Larios, Victor M.

doi:10.1109/tem.2020.3002250

Cited by 39 publications

(22 citation statements)

References 22 publications

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“…For each sensor node, the objects of the reporting node include Modbus ID, function code, slave address, reporting data type, register address, reporting cycle, and reporting data label. The MQTT [ 30 ] processing function ( Fig 4 ) can import the parameter object. The Internet of things server subscribes to the theme of each node according to the parameter object and then stores it in different databases according to the label and separator.…”

Section: Monitoring Systemmentioning

confidence: 99%

“…Monitoring equipment is required to collect data, but different sensor devices have different standard specifications and interfaces [ 6 ]. Therefore, microcontrollers usually control sensor nodes [ 7 , 8 ]. Linux [ 8 ], Raspberry Pi [ 9 ], and C language [ 10 ] are often used to build the operating system of sensors.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, microcontrollers usually control sensor nodes [ 7 , 8 ]. Linux [ 8 ], Raspberry Pi [ 9 ], and C language [ 10 ] are often used to build the operating system of sensors. Users need to use different configuration codes according to the actual situation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of PM2.5 monitoring and forecasting system for opencast coal mine road based on internet of things and ARIMA Mode

et al. 2022

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The dust produced by transportation roads is the primary source of PM2.5 pollution in opencast coal mines. However, China’s opencast coal mines lack an efficient and straightforward construction scheme of monitoring and management systems and a short-term prediction model to support dust control. In this study, by establishing a PM2.5 and other real-time environmental information to monitor, manage, visualize and predict the Internet of things monitoring and prediction system to solve these problems. This study solves these problems by establishing an Internet of things monitoring and prediction system, which can monitor PM2.5 and other real-time environmental information for monitoring, management, visualization, and prediction. We use Lua language to write interface protocol code in the APRUS adapter, which can simplify the construction of environmental monitoring system. The Internet of things platform has a custom visualization scheme, which is convenient for managers without programming experience to manage sensors and real-time data. We analyze real-time data using a time series model in Python, and RMSE and MAPE evaluate cross-validation results. The evaluation results show that the average RMSE of the ARIMA (4,1,0) and Double Exponential Smoothing models are 12.68 and 8.34, respectively. Both models have good generalization ability. The average MAPE of the fitting results are 10.5% and 1.7%, respectively, and the relative error is small. Because the ARIMA model has a more flexible prediction range and strong expansibility, and ARIMA model shows good adaptability in cross-validation, the ARIMA model is more suitable as the short-term prediction model of the prediction system. The prediction system can continuously predict PM2.5 dust through the ARIMA model. The monitoring and prediction system is very suitable for managers of opencast coal mines to prevent and control road dust.

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Section: Monitoring Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of PM2.5 monitoring and forecasting system for opencast coal mine road based on internet of things and ARIMA Mode

et al. 2022

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“…An IoT middleware based on publish/subscribe mechanism is designed to realize the push and management of sensor-aware services. An SOA-based middleware for IoT monitoring systems is designed to solve the problem of fusion of heterogeneous monitoring data and provide users with service options for monitoring device sensing services [12]. The IoT middleware generally manages and selects services for the sense control services of IoT devices, and only the functional properties of the sense control services are considered in the service selection.…”

Section: Status Of Researchmentioning

confidence: 99%

Intelligent Government Control System Construction Based on 5G IoT

2021

Journal of Sensors

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This paper presents an in-depth analysis of the construction of an intelligent government control system in the context of 5G IoT. The research has conducted performance tests and network tests on the samples of the components which debugged the problems that occurred during the tests and analyzed and improved the system. The system designed in this study is not only easy to maintain but also very reliable and safe, with a high level of accuracy, and can be used for remote “five remote” and management of switchgear and other related power equipment. Based on this model, a dual middleware PaaS service selection algorithm is proposed, and a utility evaluation strategy is used to load balance the PaaS service. The test results show that the DMPS algorithm has a high selection accuracy and load balancing capability. Combined with the experience of local government investment and financing platform financing risk management and control practices, the financing risk control system established through the study is made more feasible. From the development history of local government investment and financing platforms, we study local government investment and financing platforms from the perspective of historical development and explore the root causes of their high financing risks and possible defects in the management process of daily work. Concerning the existing laws and regulations, practical operation norms, the framework of the local government investment and financing platform system, and other objective conditions, we start to build a financing risk control system for local government investment and financing platforms from both practical and operational management aspects, to find a financing risk control system that is in line with the regulations and effective. Finally, the system will be put into practice, and the effectiveness of the system will be tested by using the simulation operation method, and the results will be adjusted in time for the shortcomings of the system. The system is expected to help local government investment and financing platforms to reduce their risks so that they can provide better services for urban infrastructure construction and become a solid link in the economic development chain.

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“…Li et al [5] presented a semiautomated process of role mapping for the setting of dynamic accesses of smart city enabling access control. Mora-Sánchez et al [6] proposed scalability complaint infrastructure as a validation approach consisting of the properties of interoperability, modularity, and resilience.…”

Section: Introductionmentioning

confidence: 99%

Analyzing and Evaluating Smart Cities for IoT Based on Use Cases Using the Analytic Network Process

Huang

Nazir

2021

Mobile Information Systems

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With the passage of time, the world population is growing. Proper utilization of resources and other devices is tremendously playing an important role to easily examine, manage, and control the resources of the Internet of Things (IoT) in the smart city. Research in the field of IoT has revolutionized the services mostly in smart cities. In the smart city, the applications of IoT are utilized without human involvement. Diverse IoT devices are connected with each other and communicate for different tasks. With the existence of a huge number of IoT devices in the forthcoming years, the chances of privacy breach and information leakage are increasing. Billions of devices connected on IoT producing huge volume of data bound to cloud for processing, management, and storage. Sending of whole data to the cloud might create risk of security and privacy. Various needs of the smart city should be considered for both urgent and effective solutions to support requirements of the growing population. On the other side of rising technology, the IoT evolution has massively produced diverse research directions for the smart city. Keeping in view the use cases of the smart city, the proposed study presents the analytic network process (ANP) for evaluating smart cities. The approach of ANP works well in the situation of complexity, and vagueness exists among the available alternatives. The experimental results of the planned approach show that the approach is effective for evaluating the smart cities for IoT based on the use cases.

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Validation of IoT Infrastructure for the Construction of Smart Cities Solutions on Living Lab Platform

Cited by 39 publications

References 22 publications

Design of PM2.5 monitoring and forecasting system for opencast coal mine road based on internet of things and ARIMA Mode

Design of PM2.5 monitoring and forecasting system for opencast coal mine road based on internet of things and ARIMA Mode

Intelligent Government Control System Construction Based on 5G IoT

Analyzing and Evaluating Smart Cities for IoT Based on Use Cases Using the Analytic Network Process

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