Abstract
This contribution proposes an implementation for next generation smart homes, where heterogeneous data, coming from multiple sensors (medical, wellbeing, energy, contextual, etc.) and house equipment (smart fridge, smart TV, etc.), need to be managed, secured and visualized. As a first step, it focuses only on energy and health data. However, it aims to lay the foundations to manage any type of information towards the development of smart interactions with the house, which might include artificial intelligence and machine learning. These data are securely collected using a central Web of Things gateway, located inside the smart home. For the e-health part, a set of possible use-cases is provided, along with the current progress of the implantation. In this regard, the main idea is to link the next generation smart homes with external medical entities in order to provide, first, quick intervention in the event of an abnormality being detected, and to be able to provide basic medical services such as remote consultations with a doctor for a particular health issue. This vision can be very promising, particularly in rural areas, where access to medical services is difficult. As for the energy part, the aim is to collect users’ energy consumption inside the smart home, which can be supplied from different sources (heat, water, gas, or electricity), and to enable the use of advanced algorithms to predict and manage local energy consumption and production (if any). This approach combines data collected from smart meters, operational information of the smart energy devices (the status of smart plugs), user’s requests and external network signals such as energy prices. By using a home energy management system that accepts such input parameters, the operation of in-home devices and appliances can be optimally controlled according to different objectives (e.g., minimizing energy costs and maximizing user’s comfort level).
Highlights
IntroductionThe concept of smart homes has undergone a radical transformation in recent years that has drastically changed the way different local systems interconnect, interact and exchange information
The concept of smart homes has undergone a radical transformation in recent years that has drastically changed the way different local systems interconnect, interact and exchange information.This transformation has been boosted by the incorporation of new Internet of Things (IoT) technologies that have allowed for the creation of local networks, which are cost-effective and viable from the point of view of energy consumption, as many elements are powered by batteries [1]
This transition has been possible thanks to the support given by the Home Area Network (HAN), which is a type of IP-based Local Area Network (LAN)
Summary
The concept of smart homes has undergone a radical transformation in recent years that has drastically changed the way different local systems interconnect, interact and exchange information This transformation has been boosted by the incorporation of new Internet of Things (IoT) technologies that have allowed for the creation of local networks, which are cost-effective and viable from the point of view of energy consumption, as many elements are powered by batteries [1]. The main types of smart devices on the market that deliver this kind of service are multimedia (such as smart TVs, and connected speakers), hubs and controllers that help in controlling the gadgets and appliances in the house, lighting (e.g., intelligent dimming for energy savings) [2,3] and heating/cooling through smart thermostats that can bring further energy savings [4] Such services, in particular the multimedia related ones, requires a higher network demand for low-latency, high-capacity, real-time and high Quality of Services (QoS). They consume most of the network bandwidth and require higher processing and storage resources.
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