The Implementation of Smart Electronic Locking System Based on Z-Wave and Internet

Wei, Chia Chien; Yanming, Chen; Chang, Chao-Chieh; Yu, Chi-Han

doi:10.1109/smc.2015.351

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…However, PLC often shows intermittent failures for large number of operating appliances and the high power consumption of ZigBee network opens a path to try few other alternatives such as Z-Wave. A Z-Wave monitoring system has been developed by Gong et al [15] and a controller by Wei et al [16]. But to connect the system to the Internet most of the proposed architectures use power-hungry technologies such as WiFi.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Demand Response Using NB-IoT

Sultania

Mahfoudhi

Famaey

2020

IEEE Internet Things J.

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The Internet of Things (IoT) already connects billions of devices and keeps growing exponentially. These devices are designed to be integrated with industrial machines, home appliances and infrastructures. One such use-case is to build a smart grid management system that relies on demand-response techniques to control the appliances automatically so that the power can be distributed optimally. The mission-critical smart grid communications require secure, reliable, two-way communicable, and latency bounded connections between the management system and the electrical appliances. To realize these, cellular technology is arguably the most feasible solution. 3GPP has already released the Narrowband-Internet of Things (NB-IoT) standards as the low-power dense-area coverage IoT cellular solution. In this paper, we present an NB-IoT system to monitor and control the connected electrical appliances in a smart grid network. The platform is also capable of configuring the network dynamically. We assess the latency performance for our solution using the commercially available Orange network in Belgium. It is observed that NB-IoT enabled devices can be controlled and monitored with a maximum latency less than 8 seconds in the deep-indoor environment and within 2 seconds for the outdoor environment.

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Section: Related Workmentioning

confidence: 99%

Real-Time Demand Response Using NB-IoT

Sultania

Mahfoudhi

Famaey

2020

IEEE Internet Things J.

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“…Z ‐Wave on the other hand, enables IoT devices to be controlled via the internet and is very common among smart home (SH) systems. In [41], the Z ‐Wave integration between a Raspberri Pi Processor and a Z ‐Wave chip module for a security control system in an SH is presented. In the case of Wings, this technology allows the integration of sensor networks with a distance between devices of 15 m; communications are established at 868 MHz and it is free of interference in a mesh topology [38].…”

Section: Smart Led Lighting Technologies For Sbmentioning

confidence: 99%

LED lighting systems for smart buildings: a review

Chinchero

Alonso

2020

IET Smart Cities

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“…Para a automação residencial, as placas de prototipação permitiram uma verdadeira revolução, levando pessoas com poucas experiência e boas ideias a investirem tempo em projetos domésticos com resultados satisfatórios. Destes, alguns projetos se destacam: Controle inteligente de luminosidade e cortinas (TANG et al, 2017;SOLIMAN et al, 2017), reconhecimento de comandos de voz (KHALID et al, 2014;MITTAL et al, 2015;PANDYA;MEHTA;JAIN, 2016; ARIPIN; OTHMAN, 2014), fechaduras eletrônicas com controle de segurança (KAMELIA et al, 2014;SEO;KO;NOH, 2015;WEI et al, 2015;AGARWAL et al, 2016;NEHETE et al, 2016), sistemas de segurança e alarmes inteligentes (JAVALE et al, 2013;CHANDRAMOHAN et al, 2017), dentre outros.…”

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