E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Advances in Sensors for Sustainable Smart Cities and Smart Buildings"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 November 2017

Special Issue Editors

Guest Editor
Prof. Ioannis Chatzigiannakis

Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome, Italy
Website | E-Mail
Interests: Internet of Things; pervasive systems; distributed computing; algorithmic engineering
Guest Editor
Dr. Georgios Mylonas

Computer Technology Institute & Press (CTI), Patra, Greece
Website | E-Mail
Interests: energy efficiency in education, gamification and sustainability, real-world IoT case studies, IoT for smart cities and energy efficiency, crowdsourcing and participatory sensing

Special Issue Information

Dear Colleagues,

In order to achieve the ambitious energy and climate targets for 2050 as part of the decarbonisation goal for the European economy, significant reductions in energy usage in buildings are required. Today, the rates of construction of new buildings, as well as the rates of renovation of existing buildings are both very low. At the same time, new ICT technologies are being developed that can identify energy inefficiencies in buildings and achieve energy gains based on intelligent management and control of appliances as well as through providing reliable data to citizens and guiding them to achieve a change in behavior and consumption practices.

The aim of this Special Issue is to collect from academic and industrial players, papers reporting original, previously unpublished research, which addresses this important topic. It is evident that the creation of an innovative IT ecosystem involves significant developments in a broad range of topics, from foundational topics regarding the organization and analysis of information, to papers presenting novel technological platforms for interconnecting smart sensors and intelligent devices, to pilots reporting recent developments in real-world deployments. In addition, novel approaches combining advances in IoT and Cloud technologies, with techniques such as gamification to stimulate engagement and behavior change are also in the scope of this Special Issue.

Topics of interest:

  • Data management and knowledge extraction
  • Novel network infrastructures
  • Smart metering infrastructures
  • Wide area management and monitoring systems
  • Networking protocols for low-power devices
  • Methodologies for studying and analyzing smart buildings’ performance
  • Pilot applications and experiences in both public and private buildings
  • IoT-based gamification for behavioral change towards energy efficiency
  • IoT for Energy-related issues in Education

Prof. Dr. Ioannis Chatzigiannakis
Dr. Georgios Mylonas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of things
  • smart buildings
  • energy data analytics
  • gamification
  • case studies on behavioral change
  • real-world internet

Published Papers (8 papers)

View options order results:
result details:
Displaying articles 1-8
Export citation of selected articles as:

Research

Open AccessArticle An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency
Sensors 2017, 17(10), 2296; doi:10.3390/s17102296
Received: 15 September 2017 / Revised: 26 September 2017 / Accepted: 1 October 2017 / Published: 10 October 2017
PDF Full-text (1214 KB) | HTML Full-text | XML Full-text
Abstract
Raising awareness among young people and changing their behaviour and habits concerning energy usage is key to achieving sustained energy saving. Additionally, young people are very sensitive to environmental protection so raising awareness among children is much easier than with any other group
[...] Read more.
Raising awareness among young people and changing their behaviour and habits concerning energy usage is key to achieving sustained energy saving. Additionally, young people are very sensitive to environmental protection so raising awareness among children is much easier than with any other group of citizens. This work examines ways to create an innovative Information & Communication Technologies (ICT) ecosystem (including web-based, mobile, social and sensing elements) tailored specifically for school environments, taking into account both the users (faculty, staff, students, parents) and school buildings, thus motivating and supporting young citizens’ behavioural change to achieve greater energy efficiency. A mixture of open-source IoT hardware and proprietary platforms on the infrastructure level, are currently being utilized for monitoring a fleet of 18 educational buildings across 3 countries, comprising over 700 IoT monitoring points. Hereon presented is the system’s high-level architecture, as well as several aspects of its implementation, related to the application domain of educational building monitoring and energy efficiency. The system is developed based on open-source technologies and services in order to make it capable of providing open IT-infrastructure and support from different commercial hardware/sensor vendors as well as open-source solutions. The system presented can be used to develop and offer new app-based solutions that can be used either for educational purposes or for managing the energy efficiency of the building. The system is replicable and adaptable to settings that may be different than the scenarios envisioned here (e.g., targeting different climate zones), different IT infrastructures and can be easily extended to accommodate integration with other systems. The overall performance of the system is evaluated in real-world environment in terms of scalability, responsiveness and simplicity. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle ROSA: Resource-Oriented Service Management Schemes for Web of Things in a Smart Home
Sensors 2017, 17(10), 2159; doi:10.3390/s17102159
Received: 18 July 2017 / Revised: 4 September 2017 / Accepted: 18 September 2017 / Published: 21 September 2017
PDF Full-text (946 KB) | HTML Full-text | XML Full-text
Abstract
A Pervasive-computing-enriched smart home environment, which contains many embedded and tiny intelligent devices and sensors coordinated by service management mechanisms, is capable of anticipating intentions of occupants and providing appropriate services accordingly. Although there are a wealth of research achievements in recent years,
[...] Read more.
A Pervasive-computing-enriched smart home environment, which contains many embedded and tiny intelligent devices and sensors coordinated by service management mechanisms, is capable of anticipating intentions of occupants and providing appropriate services accordingly. Although there are a wealth of research achievements in recent years, the degree of market acceptance is still low. The main reason is that most of the devices and services in such environments depend on particular platform or technology, making it hard to develop an application by composing the devices or services. Meanwhile, the concept of Web of Things (WoT) is becoming popular recently. Based on WoT, the developers can build applications based on popular web tools or technologies. Consequently, the objective of this paper is to propose a set of novel WoT-driven plug-and-play service management schemes for a smart home called Resource-Oriented Service Administration (ROSA). We have implemented an application prototype, and experiments are performed to show the effectiveness of the proposed approach. The results of this research can be a foundation for realizing the vision of “end user programmable smart environments”. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle Combining a Multi-Agent System and Communication Middleware for Smart Home Control: A Universal Control Platform Architecture
Sensors 2017, 17(9), 2135; doi:10.3390/s17092135
Received: 23 August 2017 / Revised: 11 September 2017 / Accepted: 13 September 2017 / Published: 16 September 2017
PDF Full-text (7787 KB) | HTML Full-text | XML Full-text
Abstract
In recent years, the smart home field has gained wide attention for its broad application prospects. However, families using smart home systems must usually adopt various heterogeneous smart devices, including sensors and devices, which makes it more difficult to manage and control their
[...] Read more.
In recent years, the smart home field has gained wide attention for its broad application prospects. However, families using smart home systems must usually adopt various heterogeneous smart devices, including sensors and devices, which makes it more difficult to manage and control their home system. How to design a unified control platform to deal with the collaborative control problem of heterogeneous smart devices is one of the greatest challenges in the current smart home field. The main contribution of this paper is to propose a universal smart home control platform architecture (IAPhome) based on a multi-agent system and communication middleware, which shows significant adaptability and advantages in many aspects, including heterogeneous devices connectivity, collaborative control, human-computer interaction and user self-management. The communication middleware is an important foundation to design and implement this architecture which makes it possible to integrate heterogeneous smart devices in a flexible way. A concrete method of applying the multi-agent software technique to solve the integrated control problem of the smart home system is also presented. The proposed platform architecture has been tested in a real smart home environment, and the results indicate that the effectiveness of our approach for solving the collaborative control problem of different smart devices. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings
Sensors 2017, 17(9), 2054; doi:10.3390/s17092054
Received: 19 July 2017 / Revised: 31 August 2017 / Accepted: 5 September 2017 / Published: 7 September 2017
Cited by 1 | PDF Full-text (7335 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through
[...] Read more.
Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle RUDO: A Home Ambient Intelligence System for Blind People
Sensors 2017, 17(8), 1926; doi:10.3390/s17081926
Received: 29 June 2017 / Revised: 5 August 2017 / Accepted: 19 August 2017 / Published: 22 August 2017
PDF Full-text (2550 KB) | HTML Full-text | XML Full-text
Abstract
The article introduces an ambient intelligence system for blind people which besides providing assistance in home environment also helps with various situations and roles in which blind people may find themselves involved. RUDO, the designed system, comprises several modules that mainly support or
[...] Read more.
The article introduces an ambient intelligence system for blind people which besides providing assistance in home environment also helps with various situations and roles in which blind people may find themselves involved. RUDO, the designed system, comprises several modules that mainly support or ensure recognition of approaching people, alerting to other household members’ movement in the flat, work on a computer, supervision of (sighted) children, cooperation of a sighted and a blind person (e.g., when studying), control of heating and zonal regulation by a blind person. It has a unified user interface that gives the blind person access to individual functions. The interface for blind people offers assistance with work on a computer, including writing in Braille on a regular keyboard and specialized work in informatics and electronics (e.g., programming). RUDO can complement the standard aids used by blind people at home, it increases their independence and creates conditions that allow them to become fully involved. RUDO also supports blind people sharing a home with sighted people, which contributes to their feeling of security and greater inclusion in society. RUDO has been implemented in a household for two years, which allows an evaluation of its use in practice. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle Tree Alignment Based on Needleman-Wunsch Algorithm for Sensor Selection in Smart Homes
Sensors 2017, 17(8), 1902; doi:10.3390/s17081902
Received: 29 June 2017 / Revised: 3 August 2017 / Accepted: 9 August 2017 / Published: 18 August 2017
PDF Full-text (339 KB) | HTML Full-text | XML Full-text
Abstract
Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system
[...] Read more.
Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system needs to learn from observations acquired through sensors. One question that often arises is which sensors are useful and how many sensors are required to accurately recognise the inhabitant’s activities? Many wrapper methods have been proposed and remain one of the popular evaluators for sensor selection due to its superior accuracy performance. However, they are prohibitively slow during the evaluation process and may run into the risk of overfitting due to the extent of the search. Motivated by this characteristic, this paper attempts to reduce the cost of the evaluation process and overfitting through tree alignment. The performance of our method is evaluated on two public datasets obtained in two distinct smart home environments. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle A Smart Power Electronic Multiconverter for the Residential Sector
Sensors 2017, 17(6), 1217; doi:10.3390/s17061217
Received: 16 March 2017 / Revised: 19 May 2017 / Accepted: 23 May 2017 / Published: 26 May 2017
PDF Full-text (7418 KB) | HTML Full-text | XML Full-text
Abstract
The future of the grid includes distributed generation and smart grid technologies. Demand Side Management (DSM) systems will also be essential to achieve a high level of reliability and robustness in power systems. To do that, expanding the Advanced Metering Infrastructure (AMI) and
[...] Read more.
The future of the grid includes distributed generation and smart grid technologies. Demand Side Management (DSM) systems will also be essential to achieve a high level of reliability and robustness in power systems. To do that, expanding the Advanced Metering Infrastructure (AMI) and Energy Management Systems (EMS) are necessary. The trend direction is towards the creation of energy resource hubs, such as the smart community concept. This paper presents a smart multiconverter system for residential/housing sector with a Hybrid Energy Storage System (HESS) consisting of supercapacitor and battery, and with local photovoltaic (PV) energy source integration. The device works as a distributed energy unit located in each house of the community, receiving active power set-points provided by a smart community EMS. This central EMS is responsible for managing the active energy flows between the electricity grid, renewable energy sources, storage equipment and loads existing in the community. The proposed multiconverter is responsible for complying with the reference active power set-points with proper power quality; guaranteeing that the local PV modules operate with a Maximum Power Point Tracking (MPPT) algorithm; and extending the lifetime of the battery thanks to a cooperative operation of the HESS. A simulation model has been developed in order to show the detailed operation of the system. Finally, a prototype of the multiconverter platform has been implemented and some experimental tests have been carried out to validate it. Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Open AccessArticle OpenSHS: Open Smart Home Simulator
Sensors 2017, 17(5), 1003; doi:10.3390/s17051003
Received: 20 February 2017 / Revised: 23 April 2017 / Accepted: 27 April 2017 / Published: 2 May 2017
PDF Full-text (1522 KB) | HTML Full-text | XML Full-text
Abstract
This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models. Following a hybrid
[...] Read more.
This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of the Internet of Things (IoT) and machine learning to test and evaluate their models. Following a hybrid approach, OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design: the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second, simulation: the participant simulates his/her context-specific events; and third, aggregation: the researcher applies the replication algorithm to generate the final dataset. We conducted a study to assess the ease of use of our tool on the System Usability Scale (SUS). Full article
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
Figures

Figure 1

Journal Contact

MDPI AG
Sensors Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
E-Mail: 
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to Special Issue Edit a special issue Review for Sensors
logo
loading...
Back to Top