IoT-based smart homes: A review of system architecture, software, communications, privacy and security

Mocrii, Dragos; Chen, Yuxiang; Musilek, Petr

doi:10.1016/j.iot.2018.08.009

Cited by 230 publications

(136 citation statements)

References 45 publications

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“…The use of IoT devices and applications in smart environments is nowadays a widespread practice. In smart homes, for instance, ubiquitous technologies are used to deal with the comfort, the healthcare, the safety, the security, and the energy conservation in dwellings [23]. Concerning energy savings, it must be noted that the monitoring of water and electricity consumption represents one of the main Key Performance Indicator (KPI) of energy efficiency in buildings [24], thus making this measurement step, essential.…”

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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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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“…IoT requires a vehicle layer convention which offers blockage control, adaptability and dependability as indicated by necessity of gadgets [2]. Dragos Mocrii et al presented a survey of real advancements of IoT-based smart homes and current difficulties of brilliant home advances and their scattering, and indicate some interesting arrangements and future patterns [3]. Adel Alkhalil et al recommended the usage of information provenance as an imperative instrument that can improve the security and protection of IoT frameworks and reviewed the most difficult issues in IoT information provenance.…”

Section: Related Workmentioning

confidence: 99%

TPR, PPV and ROC based Performance Measurement and Optimization of Human Face Recognition of IoT Enabled Physical Location Monitoring

Shitole¹,

Devare²

2019

IJRTE

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 Abstract: This paper describes the construction of Internet of Things (IoT) enabled system which not only captures the sensors data in textual and numeric form but also performs live human face recognition to monitor physical location effectively. The dataset used in order to apply supervised machine learning algorithms is the combination of automatically captured live sensor data along with name of the human face recognized or unknown and additional manually introduced class label. Performance measurement of face recognition is done with the help of Decision Tree (DT), K-Nearest Neighbors (KNN), Naïve Bayes (NB) and Logistic Regression (LR). The results show that DT gives the best performance with respect to classifier's accuracy; True Positive Rate, Positive Predictive Value and area under curve of Receiver Operating Characteristics (ROC) for face recognition prediction whether the recognized face is true or false.

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“…Automation can be considered as a subset of an intelligence system; it encompasses a limited number of tasks and does not need an overall image of the environmental situation. The intelligence system has an overall image about the environmental situation, the tasks that are going on, and it is also able to predict the upcoming situation and make decisions to guarantee the safety and convenience of the residents [3].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the gateway plays a network security layer role for the smart home. Since all communication among the end devices and the outer networks should pass through the gateway, it has the ability to filter the messages before commands make any changes to the end devices which do not possess high level of security and are more vulnerable to attacks [3].…”

mentioning

confidence: 99%

Energy Management for Smart Homes—State of the Art

2019

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Smart home is a concept that aims to enhance the comfort of residents and facilitate household activities. The smart home is an application of ubiquitous computing which can provide the user with context-aware automated or assistive services in the form of ambient intelligence, remote control of home appliances, or automation. Smart homes attempt to integrate smartness into homes to guarantee the residents’ convenience, safety, and security, while conserving the energy. The capabilities of a smart home in the context of different applications, have been scrutinized for this investigation. Different proposed architectures, protocols, and infrastructures have been taken into consideration. As the data management process is a vital part of a smart home system, many procedures of data collection, storage, and analysis have been surveyed. Methods of data acquisition has also been discussed. Existing challenges, pros, and cons of proposed schemes along with future perspectives of smart homes are identified in this report, which is intended to promote future research directions.

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IoT-based smart homes: A review of system architecture, software, communications, privacy and security

Cited by 230 publications

References 45 publications

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

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

TPR, PPV and ROC based Performance Measurement and Optimization of Human Face Recognition of IoT Enabled Physical Location Monitoring

Energy Management for Smart Homes—State of the Art

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