Last-Meter Smart Grid Embedded in an Internet-of-Things Platform

Spano, Elisa; Niccolini, Luca; Pascoli, Stefano Di; Iannaccone, Giuseppe

doi:10.1109/tsg.2014.2342796

Cited by 155 publications

(73 citation statements)

References 24 publications

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“…In general, IoT devices combine sensing, computation, and communication techniques to deliver remote data collection and system control. Today, these "things" range from everyday consumer electronics to specialized industrial systems [1], such as fitness-tracking wristwatches [2], transport logistics [3], and smart cars [4] to manufacturing [5] and smart grids [6]. Contingent on implementation, an IoT device may be used for real-time alerts, data archiving, trend analysis, and forecasting by leveraging related technologies such as cloud services [7].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Introductionmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…The inconvenience is that only power consumption is measured, and a Personal Computer (PC) is needed to upload data to the cloud system, so the sensor is not provided with internet access. Authors of [31] criticize most approaches for being "distributor-centric" rather than "customer-centric," undermining user acceptance, so they have designed a customer-centric and scalable architecture to facilitate user acceptance. According to the authors, this architecture (1) facilitates the integration of smart-grid applications with other home applications; (2) can gather data from heterogeneous communication protocols; (3) provides secure access to data; and (4) allows unequivocal mapping of each sensor and actuator to common abstraction layers so that applications easily can identify them.…”

Section: Power Quality Literature Surveymentioning

confidence: 99%

Novel Internet of Things Platform for In-Building Power Quality Submetering

et al. 2018

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Abstract:As the number of facilities adopting a Building Management System under the Industry 4.0 paradigm increases, it is critical to ensure the good health of their operations. Business continuity and uninterrupted operations are key requirements for any building, for which Power Quality and Supply Reliability sophisticated monitoring can play an extremely important role. Submetering, as opposed to bulk-metering, implies measuring power consumption for individual units or appliances in a building complex. An Internet of Things mesh network, which brings ubiquitous power quality submetering inside the entire facility, would be extremely beneficial for the management of the building thus ensuring seamless business operations. This work describes a novel low-cost Internet of Things sensor for measuring and analyzing power quality at the input of any individual Alternating Current (AC) appliance, providing an early detection and analysis system which controls those critical variables inside the facility and leads to anticipate faults with early-stage alerts based on on-time data streams treatment. Moreover, the recorded power quality parameters that are processed in the Cloud system can help to reduce energy consumption, as power quality disturbances can be automatically analyzed and even compared to standard values. The proposed Internet of Things sensor will help users to detect most power quality steady-state and events disturbances, while monitoring the energy consumption. This Internet of Things Power Quality sensor is built around a flexible microcontroller, which manages an energy metering Integrated Circuit (IC) through Serial Peripheral Interface (SPI), increasing its original capabilities by including new sophisticated software functionality. Additionally, it wirelessly communicates with a cloud-based Internet of Things Platform to allow the storage and supervision of the different power quality events for the entire facility. An example of the access to the data is also included.

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“…As Domain Name Server (DNS) is used for mapping domain name while fetching the IP address of host associated with specific given name but in the IoT, communication must take place between objects rather than hosts. The issue has been addressed by [20][25] [26] and Atzori et al [10] proposed that an Object Name Server (ONS) technique can be used at object level communication. In current Internet, the tag identifier mapped on the Internet Uniform Resource Locator (URL), and the desired information is fetched.…”

Section: A Addressing and Sensing Issuementioning

confidence: 99%

Constraints in the IoT: The World in 2020 and Beyond

Haroon¹,

Shah²,

Asim³

et al. 2016

ijacsa

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Abstract-The Internet of Things (IoT), often referred as the future Internet; is a collection of interconnected devices integrated into the world-wide network that covers almost everything and could be available anywhere. IoT is an emerging technology and aims to play an important role in saving money, conserving energy, eliminating gap and better monitoring for intensive management on a routine basis. On the other hand, it is also facing certain design constraints such as technical challenges, social challenges, compromising privacy and performance tradeoffs. This paper surveys major technical limitations that are hindering the successful deployment of the IoT such as standardization, interoperability, networking issues, addressing and sensing issues, power and storage restrictions, privacy and security, etc. This paper categorizes the existing research on the technical constraints that have been published in the recent years. With this categorization, we aim to provide an easy and concise view of the technical aspects of the IoT. Furthermore, we forecast the changes influenced by the IoT. This paper predicts the future and provides an estimation of the world in year 2020 and beyond.

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Last-Meter Smart Grid Embedded in an Internet-of-Things Platform

Cited by 155 publications

References 24 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

Novel Internet of Things Platform for In-Building Power Quality Submetering

Constraints in the IoT: The World in 2020 and Beyond

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