Smart Cities and Homes: Current Status and Future Possibilities

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 8966

Special Issue Editors


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Guest Editor
School of Engineering, Macquarie University, Sydney, NSW 2109, Australia
Interests: sensors and sensing technology; instrumentation; wireless sensor networks; Internet of Things; mechatronics and robotics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computer and Information Sciences, University of Hyderabad, Telangana 500046, India
Interests: wireless sensor networks; Internet of Things; time series data mining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart homes promise to be the building blocks of smart cities and are encompassed under the topic of the Internet of Things. In the most recent decade, advances in remote detecting innovation frameworks have led to an expansive number of different sorts of smart home. A smart home is an integration system, made up of about three important components: firstly, the physical components (smart sensors and electronic gadgets); secondly, the communication system (significant wireless advances used to actualize the frameworks using Z-Wave, Insteon, Wavenis, Bluetooth, WiFi, and ZigBee); thirdly, information processing through artificial intelligence programs (machine learning and data mining). Numerous proportional names are utilized for the savvy home framework e.g., home observation, home computerization, assisted living framework, wise home etc.

The current advances in home computerization contribute towards achieving risk-free sheltered living as well as comfortable real-life settings for the residential home environment. Ubiquitous monitoring systems might be more readily adopted by residents if monitoring systems were designed and developed as custom-made tools. Ambient assisted living (AAL) is amongst the emerging, brilliant home applications, and contains interoperable ideas, items, and administrative techniques. These coordinate new data and correspondence advances and home situations with the aim of increasing the personal satisfaction of individuals in all phases of life.

This Special Issue aims to publish original, significant and visionary papers describing the scientific methods and technologies that improve efficiency, productivity, quality and reliability in all areas of wireless home automation and ambient assisted living. This Special Issue will provide a broad platform for publishing the many rapid advances that have been achieved to date in the area of wireless home automation and ambient assisted living. In this Special Issue, we would like to focus on understanding what should be done to improve the sensing awareness and capability of humans. Submissions of scientific results from experts in academia and industry worldwide are strongly encouraged.

Contributions may include, but are not limited to:

  • intelligent sensors and actuators for homes, buildings and infrastructures
  • real-time control and optimization
  • distributed, networked and collaborative systems
  • big data and real-time data processing
  • wireless communication protocols and implementation
  • modeling and analysis of physical components and the environment
  • modeling, analysis and integration of human activities
  • energy efficiency in homes, buildings and infrastructures
  • practical deployment and case studies
  • anomaly detection in the smart home environment
  • innovative wireless sensing and computing systems or prototypes
  • innovative use of smartphones or mobile tablets for smart homes
  • cloud-based data processing for human-awareness in home automation
  • Internet of Things (IOT) and cloud computing for the smart environment
  • real-time and semantic web services

Prof. Dr. Subhas Mukhopadhyay
Prof. Dr. Nagender Kumar Suryadevara
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 submissions that pass pre-check are 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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access semimonthly 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 2000 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.

Published Papers (4 papers)

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Editorial

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4 pages, 198 KiB  
Editorial
Smart Cities and Homes: Current Status and Future Possibilities
by Subhas Mukhopadhyay and Nagender Kumar Suryadevara
J. Sens. Actuator Netw. 2023, 12(2), 25; https://doi.org/10.3390/jsan12020025 - 16 Mar 2023
Cited by 4 | Viewed by 2910
Abstract
The advancement of sensing technologies, embedded systems, wireless communication technologies, nanomaterials, miniaturization, vision sensing and processing speed have made it possible to develop smart technologies that can generate data seamlessly [...] Full article
(This article belongs to the Special Issue Smart Cities and Homes: Current Status and Future Possibilities)

Research

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19 pages, 550 KiB  
Article
Exploiting Smart Meter Water Consumption Measurements for Human Activity Event Recognition
by Sebastian Wilhelm, Jakob Kasbauer, Dietmar Jakob, Benedikt Elser and Diane Ahrens
J. Sens. Actuator Netw. 2023, 12(3), 46; https://doi.org/10.3390/jsan12030046 - 6 Jun 2023
Viewed by 2064
Abstract
Human activity event recognition (HAER) within a residence is a topic of significant interest in the field of ambient assisted living (AAL). Commonly, various sensors are installed within a residence to enable the monitoring of people. This work presents a new approach for [...] Read more.
Human activity event recognition (HAER) within a residence is a topic of significant interest in the field of ambient assisted living (AAL). Commonly, various sensors are installed within a residence to enable the monitoring of people. This work presents a new approach for HAER within a residence by (re-)using measurements from commercial smart water meters. Our approach is based on the assumption that changes in water flow within a residence, specifically the transition from no flow to flow above a certain threshold, indicate human activity. Using a separate, labeled evaluation data set from three households that was collected under controlled/laboratory-like conditions, we assess the performance of our HAER method. Our results showed that the approach has a high precision (0.86) and recall (1.00). Within this work, we further recorded a new open data set of water consumption data in 17 German households with a median sample rate of 0.083¯ Hz to demonstrate that water flow data are sufficient to detect activity events within a regular daily routine. Overall, this article demonstrates that smart water meter data can be effectively used for HAER within a residence. Full article
(This article belongs to the Special Issue Smart Cities and Homes: Current Status and Future Possibilities)
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20 pages, 10988 KiB  
Article
Coordinated PSO-ANFIS-Based 2 MPPT Control of Microgrid with Solar Photovoltaic and Battery Energy Storage System
by Siddaraj SIddaraj, Udaykumar R. Yaragatti and Nagendrappa Harischandrappa
J. Sens. Actuator Netw. 2023, 12(3), 45; https://doi.org/10.3390/jsan12030045 - 27 May 2023
Cited by 5 | Viewed by 1923
Abstract
The microgrid is a group of smaller renewable energy sources (REs), which act in a coordinated manner to provide the required amount of active power and additional services when required. This article proposes coordinated power management for a microgrid with the integration of [...] Read more.
The microgrid is a group of smaller renewable energy sources (REs), which act in a coordinated manner to provide the required amount of active power and additional services when required. This article proposes coordinated power management for a microgrid with the integration of solar PV plants with maximum power point tracking (MPPT) to enhance power generation and conversion using a hybrid MPPT method based on particle swarm optimization-adaptive neuro-fuzzy inference system (PSO-ANFIS) to acquire rapid and maximum PV power along with battery energy storage control to maintain the stable voltage and frequency (V-f) of an isolated microgrid. In addition, it is proposed to provide active and reactive power (P-Q) regulation for the grid connected. The approach used provides more regulation due to the least root mean square error (RMSE), which improves photovoltaic (PV) potential extraction. The comparison results of the PSO-ANFIS and P&O controllers of the MPPT and the controller of the energy storage devices combined with the V-f (or P-Q) controller of the inverter all show effective coordination between the control systems. This is the most important need for contemporary microgrids, considering the potential of changing irradiance in the grid following mode, the grid forming mode under an island scenario, and back-to-grid synchronization. With the test model, the islanded and grid-islanded-grid connected modes are investigated separately. The results demonstrate conclusively that the proposed strategies are effective. To run the simulations, MATLAB and SimPowerSystems are utilized. Full article
(This article belongs to the Special Issue Smart Cities and Homes: Current Status and Future Possibilities)
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16 pages, 1835 KiB  
Article
Determining Commercial Parking Vacancies Employing Multiple WiFiRSSI Fingerprinting Method
by Elmer Magsino, Juan Miguel Carlo Barrameda, Andrei Puno, Spencer Ong, Cyrill Siapco and Jolo Vibal
J. Sens. Actuator Netw. 2023, 12(2), 22; https://doi.org/10.3390/jsan12020022 - 10 Mar 2023
Cited by 4 | Viewed by 1523
Abstract
In this study, we implemented a parking occupancy/vacancy detection system (POVD) in a scaled-down model of a parking system for commercial centers by employing multiple WiFi access points. By exploiting the presence of WiFi routers installed in a commercial establishment, the WiFi’s received [...] Read more.
In this study, we implemented a parking occupancy/vacancy detection system (POVD) in a scaled-down model of a parking system for commercial centers by employing multiple WiFi access points. By exploiting the presence of WiFi routers installed in a commercial establishment, the WiFi’s received signal strength indicator (RSSI) signals were collected to establish the parking fingerprints and then later used to predict the number of occupied/vacant slots. Our extensive experiments were divided into two phases, namely: offline training and online matching phases. During the offline stage, the POVD collects available WiFi RSSI readings to determine the parking lot’s fingerprint based on a given scenario and stores them in a fingerprint database that can be updated periodically. On the other hand, the online stage predicts the number of available parking slots based on the actual scenario compared to the stored database. We utilized multiple router setups in generating WiFi signals and exhaustively considered all possible parking scenarios given the combination of 10 maximum access points and 10 cars. From two testing locations, our results showed that, given a parking area dimension of 13.40 m2 and 6.30 m2 and with the deployment of 4 and 10 routers, our system acquired the best accuracy of 88.18% and 100%, respectively. Moreover, the developed system serves as experiential evidence on how to exploit the available WiFi RSSI readings towards the realization of a smart parking system. Full article
(This article belongs to the Special Issue Smart Cities and Homes: Current Status and Future Possibilities)
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