A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications

Khajenasiri, Iman; Estebsari, Abouzar; Verhelst, Marian; Gielen, Georges

doi:10.1016/j.egypro.2017.03.239

Cited by 174 publications

(86 citation statements)

References 33 publications

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“…A discussion on the key application directions of energy big data that focuses on various branches of the area of renewable energy, such as marine energy and wind energy, is also provided by authors. A review of studies on IoT‐based intelligent energy control in buildings for smart cities was presented in Reference . In that review, the studies analyzed were organized according to the design of a novel layered IoT architecture that comprises a software platform component and a hardware infrastructure component; in particular, the software platform component is based on the service‐oriented architectural pattern and is intended to provide support for abstraction of objects or “things” and for management and composition of IoT services.…”

Section: Related Workmentioning

confidence: 99%

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

Paredes-Valverde

Alor-Hernández

Alcaráz³

et al. 2019

Computational Intelligence

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Despite there has been an increasing energy price due to factors such as supply, demand, government regulation, among others, users do not like to spend their time to analyze their power consumption and establish actions to save money. Hence, there is a need for smart solutions that help users to save energy at home in an easy way. The smart home concept is attracting the attention of both academia and industry to address this need. Nowadays, high volumes of data are available in the smart home context, facilitated by the growth of internet of things (IoT)‐based devices and advanced sensing infrastructure. Therefore, it is necessary to automatically extract useful knowledge from this information to cost‐effective use of energy at home. In this sense, this work presents IntelliHome, a smart‐home system that aims to reduce electrical energy consumption at home. To this end, IntelliHome uses big data analytics technologies and Machine Learning and statistical techniques to provide users with a meaningful perspective of their electricity consumption habits aiming to actively involve them in the energy‐saving process through real‐time information and energy‐saving recommendations. This work also discusses a case study and an evaluation aligned with the objectives of this work. The obtained results verify the effectiveness of the proposed system regarding electrical energy saving.

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Section: Related Workmentioning

confidence: 99%

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

Paredes-Valverde

Alor-Hernández

Alcaráz³

et al. 2019

Computational Intelligence

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“…In the same context, and in order to overcome the heterogeneity of various building protocols, in [10], the authors propose the Web-of-Things (WoT) framework, using well-known standard technologies of the Web such as HTTP and RESTful APIs, for standardizing the access to devices seen from an application point of view. In [11], a flexible WoT hierarchical architecture model is presented for the concept of smart cities and aims to interconnect various diverse technologies. In [12], the BMS concept for buildings with a large-scale automation system is presented.…”

Section: Introductionmentioning

confidence: 99%

On the Performance Evaluation of a MIMO–WCDMA Transmission Architecture for Building Management Systems

Tsampasis¹,

Gkonis²,

Trakadas³

et al. 2018

Sensors

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The goal of this study was to investigate the performance of a realistic wireless sensor nodes deployment in order to support modern building management systems (BMSs). A three-floor building orientation is taken into account, where each node is equipped with a multi-antenna system while a central base station (BS) collects and processes all received information. The BS is also equipped with multiple antennas; hence, a multiple input–multiple output (MIMO) system is formulated. Due to the multiple reflections during transmission in the inner of the building, a wideband code division multiple access (WCDMA) physical layer protocol has been considered, which has already been adopted for third-generation (3G) mobile networks. Results are presented for various MIMO orientations, where the mean transmission power per node is considered as an output metric for a specific signal-to-noise ratio (SNR) requirement and number of resolvable multipath components. In the first set of presented results, the effects of multiple access interference on overall transmission power are highlighted. As the number of mobile nodes per floor or the requested transmission rate increases, MIMO systems of a higher order should be deployed in order to maintain transmission power at adequate levels. In the second set of results, a comparison is performed among transmission in diversity combining and spatial multiplexing mode, which clearly indicate that the first case is the most appropriate solution for indoor communications.

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“…The main goal of IoT is to connect many disparate devices over the Internet, for which it needs a flexible layered architecture where things, people and the cloud services are combined to facilitate the application task. Such a flexible IoT hierarchical architecture model will be presented in this article with an overview of each key component for the intelligent control of energy in buildings to smart cities [17].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The survey below concentrated on published works at the recent year 2017. Iman Khajenasiri et al (2017) presented an overview of the Internet of Things (IoT). The IoT can offer a solution for the wide growth of smart cities.…”

Section: Literature Reviewmentioning

confidence: 99%

Flying with Internet of Things via Global Structure

Al-Ani¹

2017

IOSR JEEE

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A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications

Cited by 174 publications

References 33 publications

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

On the Performance Evaluation of a MIMO–WCDMA Transmission Architecture for Building Management Systems

Flying with Internet of Things via Global Structure

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