A concrete architecture for smart solutions based on IoT technologies

Silva, Diego R. C.; Nogueira, Marco Aurélio; Rodrigues, Marconi C.; Costa, Judson; Silveira, Daniel V. A.; Oliveira, Guilherme M. B.

doi:10.1109/mim.2019.8674635

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…155 Redis Redis is a NoSQL database that provides in-memory and key-value data storage. 154 MySQL It is a well-known relational database that uses disk storage. 154 DynamoDB It is a key-value and NoSQL database that is provided by Amazon.…”

Section: Mongodbmentioning

confidence: 99%

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Internet of Things architecture challenges: A systematic review

Nikoui

Rahmani

Balador

et al. 2020

Int J Communication

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The Internet of Things (IoT) is a rapidly growing trend within many domains, such as automotive, avionics, automation, energy, and health. IoT architecture is the system of numerous elements, including sensors, protocols, actuators, cloud services, and layers. IoT architecture plays an important role to provide desired services. Nowadays, tens of IoT architectures are provided by the research community. Many challenges have been identified by the research community, including interoperability, security and privacy, reliability, energy constraints, scalability, and lack of common standards. However, to provide suitable IoT architecture, the importance and priority of requirements in different scenarios may vary, and requirement analysis should be regarded. To this end, this paper presents a systematic mapping survey to give a review of IoT architecture and provide a structured overview of research trends. Moreover, a technical taxonomy is presented for these challenges according to reviewed studies. This classification model can be used as a guideline for future works.

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Section: Mongodbmentioning

confidence: 99%

“…It provides flexible and scalable data storage. 153,154 Apache HBase It is a NoSQL and column-oriented database that uses HDFS to store large amount of data. It can be considered as Hadoop Database.…”

Section: Mongodbmentioning

confidence: 99%

Internet of Things architecture challenges: A systematic review

Nikoui

Rahmani

Balador

et al. 2020

Int J Communication

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“…An example of an IoT architecture than could be applied in complex smart environments, such as smart campuses, is the SaIoT (Smart Automation using Internet of Things) architecture [37][38][39], which was first developed for smart home and building applications. This architecture has been successfully in many measurement applications, such as water and electric energy consumption [40,41], by also including the computation of proper KPIs.…”

Section: The Role Of Iot In Smart Environmentsmentioning

confidence: 99%

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

et al. 2020

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The application of the most recent advances of the Internet-of-Things (IoT) technology to the automation of buildings is emerging as a promising solution to achieve greater efficiencies in energy consumption, and to allow the realization of sustainable models. The application of IoT has been demonstrated as effective in many fields, such as confirmed, for instance, by the Industry 4.0 concepts, which are revolutionizing modern production chains. By following this approach, the use of distributed control architectures and of IoT technologies (both wired and wireless) would result in effective solutions for the management of smart environments composed of groups of buildings, such as campuses. In this case, heterogeneous IoT solutions are typically adopted to satisfy the requirements of the very diverse possible scenarios (e.g., indoor versus outdoor coverage, mobile versus fixed nodes, just to mention a few), making their large-scale integration cumbersome. To cope with this issue, this paper presents an IoT architecture able to transparently manage different communication protocols in smart environments, and investigates its possible application for the monitoring and control of distributed energy resources in a smart campus. In particular, a use–case focused on the integration of the Long Range Wide Area Network (LoRaWAN) technology is considered to cope with heterogeneous indoor and outdoor communication scenarios. The feasibility analysis of the proposed solution is carried out by computing the scalability limits of the approach, based on the proposed smart campus data model. The results of the study showed that the proposed solution would be able to manage more than 10,000 nodes. An experimental validation of the LoRaWAN technology confirms its suitability in terms of coverage and latency, with a minimum LoRaWAN cell coverage range of 250 m, and a communication latency of about 400 ms. Finally, the advantages of the proposed solution in the supervision and management of a PV system are highlighted in a real-world scenario.

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“…The proposed middleware was implemented on the Android platform outlining an architecture featuring a publish and subscription framework and evaluated with a localization application. Silva et al implemented an architecture for smart solutions based on IoT technologies, which consists of user interfaces, devices, and middleware [5]. They validated the architecture using the scenarios involved with a monitoring device of water and electricity consumption and LED-based user interfaces.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Sensing and Actuation Capabilities for IoT Devices Using oneM2M Platforms

Yun

Ahn

Song

et al. 2019

Sensors

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In this paper, we present an implementation work of sensing and actuation capabilities for IoT devices using the oneM2M standard-based platforms. We mainly focus on the heterogeneity of the hardware interfaces employed in IoT devices. For IoT devices (i.e., Internet-connected embedded systems) to perform sensing and actuation capabilities in a standardized manner, a well-designed middleware solution will be a crucial part of IoT platform. Accordingly, we propose an oneM2M standard-based IoT platform (called nCube) incorporated with a set of tiny middleware programs (called TAS) responsible for translating sensing values and actuation commands into oneM2M-defined resources accessible in Web-based applications. All the source codes for the oneM2M middleware platform and smartphone application are available for free in the GitHub repositories. The full details on the implementation work and open-source contributions are described.

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A concrete architecture for smart solutions based on IoT technologies

Cited by 15 publications

References 11 publications

Internet of Things architecture challenges: A systematic review

Internet of Things architecture challenges: A systematic review

On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

Implementation of Sensing and Actuation Capabilities for IoT Devices Using oneM2M Platforms

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