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Open AccessArticle

Edge Computing, IoT and Social Computing in Smart Energy Scenarios

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BISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, Spain
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Grupo GITCE, Universidad Tecnológica de Panamá, Panama 0801, Panama
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Authors to whom correspondence should be addressed.
Sensors 2019, 19(15), 3353; https://doi.org/10.3390/s19153353
Received: 6 June 2019 / Revised: 22 July 2019 / Accepted: 29 July 2019 / Published: 31 July 2019
The Internet of Things (IoT) has become one of the most widely research paradigms, having received much attention from the research community in the last few years. IoT is the paradigm that creates an internet-connected world, where all the everyday objects capture data from our environment and adapt it to our needs. However, the implementation of IoT is a challenging task and all the implementation scenarios require the use of different technologies and the emergence of new ones, such as Edge Computing (EC). EC allows for more secure and efficient data processing in real time, achieving better performance and results. Energy efficiency is one of the most interesting IoT scenarios. In this scenario sensors, actuators and smart devices interact to generate a large volume of data associated with energy consumption. This work proposes the use of an Edge-IoT platform and a Social Computing framework to build a system aimed to smart energy efficiency in a public building scenario. The system has been evaluated in a public building and the results make evident the notable benefits that come from applying Edge Computing to both energy efficiency scenarios and the framework itself. Those benefits included reduced data transfer from the IoT-Edge to the Cloud and reduced Cloud, computing and network resource costs. View Full-Text
Keywords: internet of things; edge computing; distributed ledger technologies; social computing; smart energy internet of things; edge computing; distributed ledger technologies; social computing; smart energy
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MDPI and ACS Style

Sittón-Candanedo, I.; Alonso, R.S.; García, Ó.; Muñoz, L.; Rodríguez-González, S. Edge Computing, IoT and Social Computing in Smart Energy Scenarios. Sensors 2019, 19, 3353.

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