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Internet of Things for Smart Community Solution II

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 7791

Special Issue Editors

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Guest Editor
ReSESNE Labs, Department of Electronics Engineering, Hankuk (Korea) University of Foreign Studies (HUFS), Seoul 02450, Republic of Korea
Interests: AI; IoT; smart city; e-healthcare; blockchain; connected vehicles; wireless communication
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Information System, National Technological University, Córdoba, Argentina
Interests: Information system; Data Streaming; Measurement and Evaluation; IoT; Data Management; blockchain; Data Communication; Artificial Intelligence; Big Data; High-Performance and Grid Computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Endicott College of International Studies, Woosong University, Daejeon 300-718, Korea
Interests: cybersecurity; Autonomous vehicles; Industry 4.0; future internet/5G; IoT; WMN; blockchain; mobile display; data communication; artificial intelligence; data management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The decision-making process is fully supported by sensors data and avoids mere intuition. This represents a context in which information and knowledge are disregarded, while sensors data represent captured facts. Information is associated with those sensors data that simultaneously satisfy the conditions of interest, consistency, reliability, and opportunity. On the other hand, knowledge is characterized by information able to be applied and produce a quantifiable result. The IoT has provided the possibility of easily deploying tiny, cheap, available, and durable devices able to collect IoT data in real time, with continuous supply.  IoT markets are desperately in need of solutions that can improve community services and the security of IoT devices. The idea is to utilize and share real-time sensors data to provide an intelligent service to the authorities. In this Special Issue, we invite papers on IoT technology solutions for community safety in personal and public scenarios. Therefore, we invite cutting-edge scientific researchers to draw a picture of the use of sensors data for decision-making aimed at providing intelligent community services. Topics of interest include but are not limited to:

  • IoT technology
  • IoT markets
  • Internet of vehicles
  • Blockchain tech for communities
  • IoT big Data cloud and fog computing
  • IoT and Decision-Making processes
  • IoT and machine learning
  • IoT and measurement frameworks
  • IoT sensors data streaming
  • IoT sensors supervised models
  • IoT sensors non-supervised models
  • IoT data processing architectures

Dr. Dhananjay Singh
Dr. Mario Divan
Dr. Madhusudan Singh
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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29 pages, 6573 KiB  
Design of a Smart IoT-Based Control System for Remotely Managing Cold Storage Facilities
by Maged Mohammed, Khaled Riad and Nashi Alqahtani
Sensors 2022, 22(13), 4680; - 21 Jun 2022
Cited by 20 | Viewed by 7275
Cold storage is deemed one of the main elements in food safety management to maintain food quality. The temperature, relative humidity (RH), and air quality in cold storage rooms (CSRs) should be carefully controlled to ensure food quality and safety during cold storage. [...] Read more.
Cold storage is deemed one of the main elements in food safety management to maintain food quality. The temperature, relative humidity (RH), and air quality in cold storage rooms (CSRs) should be carefully controlled to ensure food quality and safety during cold storage. In addition, the components of CSR are exposed to risks caused by the electric current, high temperature surrounding the compressor of the condensing unit, snow and ice accumulation on the evaporator coils, and refrigerant gas leakage. These parameters affect the stored product quality, and the real-time sending of warnings is very important for early preemptive actionability against the risks that may cause damage to the components of the cold storage rooms. The IoT-based control (IoT-BC) with multipurpose sensors in food technologies presents solutions for postharvest quality management of fruits during cold storage. Therefore, this study aimed to design and evaluate a IoT-BC system to remotely control, risk alert, and monitor the microclimate parameters, i.e., RH, temperature, CO2, C2H4, and light and some operating parameters, i.e., the temperature of the refrigeration compressor, the electrical current, and the energy consumption for a modified CSR (MCSR). In addition, the impacts of the designed IoT-BC system on date fruit quality during cold storage were investigated compared with a traditional CSR (TCSR) as a case study. The results showed that the designed IoT-BC system precisely controlled the MCSR, provided reliable data about the interior microclimate atmosphere, applied electrical current and energy consumption of the MCSR, and sent the necessary alerts in case of an emergency based on real-time data analytics. There was no significant effect of the storage time on the most important quality attributes for stored date fruit in the MCSR compared with the TCSR. As a result, the MCSR maintained high-quality attributes of date fruits during cold storage. Based on the positive impact of the designed IoT-BC system on the MCSR and stored fruit quality, this modification seems quite suitable for remotely managing cold storage facilities. Full article
(This article belongs to the Special Issue Internet of Things for Smart Community Solution II)
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