On-demand energy monitoring and response architecture in a ubiquitous world

Kamara-Esteban, Oihane; Pijoan, Ander; Alonso-Vicario, Ainhoa; Borges, Cruz E.

doi:10.1007/s00779-017-1014-4

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…GS resembles some previously reported architectures which follow the edge computing paradigm [16] and feature similar aspects as the GS framework [3,4].…”

Section: Related Workmentioning

confidence: 59%

GreenSoul: An IoT Platform for Empowering Users’ Energy Efficiency in Public Buildings

Casado-Mansilla

Moschos

Kamara-Esteban

et al. 2017

Ubiquitous Computing and Ambient Intelligence

Self Cite

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The GreenSoul (GS) framework aims to provide a low-cost energyefficient Information and Communications Technology (ICT) platform which seamlessly augments a traditional public-use building with a set of assets (apps, interactive interfaces, device adaptors, smart meters and a Decision Support Engine), which mediate in the interactions of users with their environments and the energy consuming devices or systems present in them. GreenSoul envisions public use buildings as ecosystems of GreenSoul-ed devices which cooperate with other devices, standard Smart Meters and, very importantly, with ecoeducated and eco-aware users to minimize the unnecessary energy consumption. GS architecture is supported by a socioeconomic behavioural model, which aids on behaviour understanding to turn energy consuming devices into active pro-sustainability agents that manifest to their surrounding users how well or badly they are being manipulated (energy-wise), offer tips about how to use them more efficiently and even adapt their own functioning to avoid energy waste.

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“…GS resembles some previously reported architectures which follow the edge computing paradigm [16] and feature similar aspects as the GS framework [3,4].…”

Section: Related Workmentioning

confidence: 59%

GreenSoul: An IoT Platform for Empowering Users’ Energy Efficiency in Public Buildings

Casado-Mansilla

Moschos

Kamara-Esteban

et al. 2017

Ubiquitous Computing and Ambient Intelligence

Self Cite

View full text Add to dashboard Cite

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“…The "Gator Tech Smart Home" approach had the goal of creating assistive environments that could sense and monitor themselves and their occupants allowing for intervention services (37). This project has a generic architecture that could be applicable to pervasive computing spaces in general and includes the following layers: (i) physical, (ii) sensor platform, (iii) service, (iv) knowledge, (v) context management, and (vi) application (38). In a publication by L. Y. Mano (39) the "Gator Tech Smart Home" is aimed at monitoring the health of and assisting elderly people, by creating supportive environments and developmental activities.…”

Section: Traditional Smart Home Approachesmentioning

confidence: 99%

Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes

García-Constantino

Orr

Synnott

et al. 2021

Front. Digit. Health

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There is a global challenge related to the increasing number of People with Dementia (PwD) and the diminishing capacity of governments, health systems, and caregivers to provide the best care for them. Cost-effective technology solutions that enable and ensure a good quality of life for PwD via monitoring and interventions have been investigated comprehensively in the literature. The objective of this study was to investigate the challenges with the design and deployment of a Smart Home In a Box (SHIB) approach to monitoring PwD wellbeing within a care home. This could then support future SHIB implementations to have an adequate and prompt deployment allowing research to focus on the data collection and analysis aspects. An important consideration was that most care homes do not have the appropriate infrastructure for installing and using ambient sensors. The SHIB was evaluated via installation in the rooms of PwD with varying degrees of dementia at Kirk House Care Home in Belfast. Sensors from the SHIB were installed to test their capabilities for detecting Activities of Daily Living (ADLs). The sensors used were: (i) thermal sensors, (ii) contact sensors, (iii) Passive Infrared (PIR) sensors, and (iv) audio level sensors. Data from the sensors were collected, stored, and handled using a ‘SensorCentral’ data platform. The results of this study highlight challenges and opportunities that should be considered when designing and implementing a SHIB approach in a dementia care home. Lessons learned from this investigation are presented in addition to recommendations that could support monitoring the wellbeing of PwD. The main findings of this study are: (i) most care home buildings were not originally designed to appropriately install ambient sensors, and (ii) installation of SHIB sensors should be adapted depending on the specific case of the care home where they will be installed. It was acknowledged that in addition to care homes, the homes of PwD were also not designed for an appropriate integration with ambient sensors. This study provided the community with useful lessons, that will continue to be applied to improve future implementations of the SHIB approach.

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“…Energy supply for such IoT‐based ubiquitous scenario is very important. Thus, an on‐demand energy management and monitoring system was developed 59 …”

Section: Related Workmentioning

confidence: 99%

Streaming service provisioning in IoT‐based healthcare: An integrated edge‐cloud perspective

Ray

Dash

Moustafa

2020

Trans Emerging Tel Tech

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Bio‐sensor data streaming and analytics is a key component of smart e‐healthcare. However, existing Internet of Things (IoT) ecosystem is unable to materialize the real‐time bio‐sensor data streaming and analytics within resource constrained environment. Moreover, traditional solutions fail to mitigate the edge‐cloud integration within a single sub‐system under IoT periphery which lead to investigate how edge‐cloud hybridization could be realized via similar set of tools. The objective of this article is to implement an integrated dual‐mode edge‐cloud system to serve streaming and analytics in real‐time. This study aims to achieve the aforesaid goal by presenting two different experiments that deals with the real‐time pulse sensor data streaming and analytics while utilizing light‐weight IoT‐supported JavaScript frameworks that includes Node.js, Johnny‐Five, Serialport.js, Plotly client, Flot.js, jQUERYy, Express Server, and Socket.io. Firstly, a standalone IoT‐edge system is developed and later, an integrated IoT‐based edge‐cloud system is developed to compare between the effectiveness of the systems. The implementation results show near correlation between the standalone edge and dual‐mode edge system. However, the dual‐mode edge‐cloud system provides more flexibility and capability to counter the bio‐sensor data streaming and analytics services within the constrained framework.

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On-demand energy monitoring and response architecture in a ubiquitous world

Cited by 8 publications

References 26 publications

GreenSoul: An IoT Platform for Empowering Users’ Energy Efficiency in Public Buildings

GreenSoul: An IoT Platform for Empowering Users’ Energy Efficiency in Public Buildings

Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes

Streaming service provisioning in IoT‐based healthcare: An integrated edge‐cloud perspective

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