Abstract
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.
Highlights
Cloud Computing has become a means of consolidating computing functions, storage and network management centrally [1]
This work proposes the use of an Edge-Internet of Things (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
Summary
Cloud Computing has become a means of consolidating computing functions, storage and network management centrally [1]. This research analyzed the CAFCLA framework and its weaknesses in the face of a large volume of data generated by users and IoT devices In this context, CAFCLA has been integrated with an Edge Computing architecture, with the aim of conducting a case study in a public building and evaluating its performance. The management of IoT networks is challenging because of the heterogeneity of its resources, creating difficulties in communication protocols, real-time processes, data management, big data storage, security or privacy In this regard, Edge Computing architectures offer a solution to IoT infrastructures because they are capable of managing the heterogeneous data generated by IoT devices [3,31]. Due to the wide variety of the proposed solutions, and above all, the multiple application areas, the state of the art presented here includes the most outstanding works in three different areas, Smart Grids, Industrial and commercial environments and Domestic environments
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