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Special Issue "Wireless Sensor Networks in Smart Homes"

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

Deadline for manuscript submissions: 15 September 2020.

Special Issue Editors

Prof. Dr. Ilaria De Munari
Website
Guest Editor
Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy
Interests: design of digital systems; home automation systems; wireless sensors; wearable sensors; embedded systems (microcontrollers and FPGA)
Dr. Valentina Bianchi
Website SciProfiles
Guest Editor
Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181A, 43124 Parma, Italy
Interests: wearable sensors; wireless sensor networks; digital system design
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Until some years ago, with the term “smart home” was intended a convenient home setup where appliances and home devices were automatically controlled remotely using a mobile or other networked device. Currently, the concept of smart home extends well beyond the simple automation or appliance control and focuses on how different technologies can be used and managed to foster the safety and security and comfort and health of the residents. The Smart Home today is the integration of heterogeneous sensors, interfaces, network technologies, and communication protocols in a holistic view, pursuing new systems designed for users’ well-being and energy sustainability.

In this context, wireless sensors become an attractive research field thanks to their several advantages. They can be easily installed, maintained, and connected in flexible, reconfigurable networks, and they can be adapted to the users’ needs.

Although the scientific advances in this field are remarkable, there are still some drawbacks deserving the attention of the researchers, since they may limit the application areas. Power consumption, data storage, computation capabilities, communication bandwidth, and vulnerability to security attacks are just some of the topics that need further investigation.

This Special Issue aims to publish original papers describing scientific methods and technologies that could improve efficiency, productivity, quality, and reliability of wireless sensors networks. It intends to provide a broad platform for publishing the many advances that have been currently achieved in the area of wireless sensors in smart homes, including new applications and services.

Prof. Dr. Ilaria De Munari
Dr. Valentina Bianchi
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 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.

Keywords

  • Intelligent sensors for smart homes
  • Distributed, networked and collaborative systems
  • Cloud computing and big data
  • Wireless communication protocols and implementation
  • Internet of Things
  • Human interaction and usability
  • Energy efficiency in smart homes
  • Innovative wireless sensing and computing systems or prototypes
  • Ambient and active assisted living
  • Anomaly detection in smart home environment
  • Practical deployment and case studies

Published Papers (3 papers)

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Open AccessArticle
Improving Route Selections in ZigBee Wireless Sensor Networks
Sensors 2020, 20(1), 164; https://doi.org/10.3390/s20010164 - 26 Dec 2019
Cited by 1
Abstract
The ZigBee wireless communication specifications forecast the use of multihop routes between nodes and define that nodes select their routes based on their costs. The specifications define how to compute a route cost from the probability of successfully transmitting on each of the [...] Read more.
The ZigBee wireless communication specifications forecast the use of multihop routes between nodes and define that nodes select their routes based on their costs. The specifications define how to compute a route cost from the probability of successfully transmitting on each of the routes’ links; and it is recommended that such probabilities be obtained by counting received link status messages or averaging link quality indicators from received packets. In this paper, we study the performance of these two recommended procedures, show that they can lead to degraded route selections, and propose a procedure that can improve route selections without modifications to the ZigBee protocol or frame formats. Our procedure estimates the probability of successful transmission on each link, based on information from the medium access layer during unicast packet transmissions, and includes a modification into how ZigBee nodes treat routing messages internally in order to reduce variations in the link cost estimates. Focusing on a home environment with one or two hops, our simulation results show that, in several scenarios, our procedure performs better than either of the two procedures recommended in the ZigBee specifications. Full article
(This article belongs to the Special Issue Wireless Sensor Networks in Smart Homes)
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Open AccessArticle
Discovering Human Activities from Binary Data in Smart Homes
Sensors 2020, 20(9), 2513; https://doi.org/10.3390/s20092513 - 29 Apr 2020
Abstract
With the rapid development in sensing technology, data mining, and machine learning fields for human health monitoring, it became possible to enable monitoring of personal motion and vital signs in a manner that minimizes the disruption of an individual’s daily routine and assist [...] Read more.
With the rapid development in sensing technology, data mining, and machine learning fields for human health monitoring, it became possible to enable monitoring of personal motion and vital signs in a manner that minimizes the disruption of an individual’s daily routine and assist individuals with difficulties to live independently at home. A primary difficulty that researchers confront is acquiring an adequate amount of labeled data for model training and validation purposes. Therefore, activity discovery handles the problem that activity labels are not available using approaches based on sequence mining and clustering. In this paper, we introduce an unsupervised method for discovering activities from a network of motion detectors in a smart home setting. First, we present an intra-day clustering algorithm to find frequent sequential patterns within a day. As a second step, we present an inter-day clustering algorithm to find the common frequent patterns between days. Furthermore, we refine the patterns to have more compressed and defined cluster characterizations. Finally, we track the occurrences of various regular routines to monitor the functional health in an individual’s patterns and lifestyle. We evaluate our methods on two public data sets captured in real-life settings from two apartments during seven-month and three-month periods. Full article
(This article belongs to the Special Issue Wireless Sensor Networks in Smart Homes)
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Open AccessReview
Auto-Configuration in Wireless Sensor Networks: A Review
Sensors 2019, 19(19), 4281; https://doi.org/10.3390/s19194281 - 02 Oct 2019
Cited by 1
Abstract
Wireless sensor network (WSN) studies have been carried out for multiple years. At this stage, many real WSNs have been deployed. Therefore, configuration and updating are critical issues. In this paper, we discuss the issues of configuring and updating a wireless sensor network [...] Read more.
Wireless sensor network (WSN) studies have been carried out for multiple years. At this stage, many real WSNs have been deployed. Therefore, configuration and updating are critical issues. In this paper, we discuss the issues of configuring and updating a wireless sensor network (WSN). Due to a large number of sensor nodes, in addition to the limited resources of each node, manual configuring turns out to be impossible. Therefore, various auto-configuration approaches have been proposed to address the above challenges. In this survey, we present a comprehensive review of auto-configuration mechanisms with the taxonomy of classifications of the existing studies. For each category, we discuss and compare the advantages and disadvantages of related schemes. Lastly, future works are discussed for the remaining issues in this topic. Full article
(This article belongs to the Special Issue Wireless Sensor Networks in Smart Homes)
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