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Special Issue "Sensor Technologies for Smart Industry and Smart Infrastructure"

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

Deadline for manuscript submissions: 31 December 2019.

Special Issue Editor

Guest Editor
Dr. Khalil El-Khatib

Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, Canada
Website | E-Mail
Interests: Smart Communities for Smart Cities; Big data and security analytics; Security and privacy issues in wireless sensor network, mobile wireless ad hoc networks, and vehicular ad hoc networks; Smart grid security; Cloud computing; Ubiquitous computing environments

Special Issue Information

Dear Colleagues,

Sensory technologies have been attracting many research efforts during the past few years, leading to tremendous advancements in this field, with applications spanning many domains, including healthcare, environmental monitoring, precision agriculture, critical infrastructures, food industry, and intelligent transportation systems, to mention a few. However, despite the huge efforts from multiple players, including researchers, alliances, and standardization bodies, there are still several challenges that need to be addressed in order for the sensory technologies to reach their full potential.

Researchers are invited to submit new and unpublished technical and scientific research work for publication in a Special Issue on “Sensor Technologies for Smart Industry and Smart Infrastructure”. Topics of interest include, but not limited to:

  • Wireless sensor networks (WSN);
  • Radio frequency identification (RFID);
  • Internet of Things (IoT);
  • Software, applications, and programming;
  • Big data analytics technologies;
  • Smart cities;
  • Smart grid;
  • Energy management;
  • Security and privacy issues;
  • Performance, simulation, and modeling;
  • Sensor circuits and sensor devices;
  • Social sensing.

Dr. Khalil El-Khatib
Guest Editor

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 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

  • sensor technologies
  • smart industry and smart infrastructure
  • Internet of Things
  • wireless sensor networks
  • big data analytics
  • energy management

Published Papers (4 papers)

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Research

Open AccessArticle
A Further Exploration of Multi-Slot Based Spectrum Sensing
Sensors 2019, 19(16), 3497; https://doi.org/10.3390/s19163497
Received: 28 June 2019 / Revised: 1 August 2019 / Accepted: 6 August 2019 / Published: 9 August 2019
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Abstract
Spectrum sensing (SS) exhibits its advantages in the era of Internet of Things (IoT) due to limited spectrum resource and a lower utilization rate of authorized spectrum. In consequence, the performance improvement of SS seems a matter of great significance for the development [...] Read more.
Spectrum sensing (SS) exhibits its advantages in the era of Internet of Things (IoT) due to limited spectrum resource and a lower utilization rate of authorized spectrum. In consequence, the performance improvement of SS seems a matter of great significance for the development of wireless communication and IoT. Motivated by this, this paper is devoted to multi-slot based SS in specialty and several important conclusions are drawn. Firstly, SS with one slot outperforms those with multiple slots if decision fusion rule is considered for multi-slot based SS. Secondly, multi-slot based SS is conducive to the performance improvement of SS when instantaneous strong noise occurs in the radio environment. Thirdly, for multi-slot based cooperative spectrum sensing (CSS), majority voting rule among multiple nodes obtains the optimal sensing performance. Both theoretical analysis and simulation experiment validate the conclusions drawn in this paper. Full article
(This article belongs to the Special Issue Sensor Technologies for Smart Industry and Smart Infrastructure)
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Open AccessArticle
Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview
Sensors 2019, 19(14), 3213; https://doi.org/10.3390/s19143213
Received: 27 April 2019 / Revised: 11 July 2019 / Accepted: 17 July 2019 / Published: 21 July 2019
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Abstract
The ubiquity of smartphones and the growth of computing resources, such as connectivity, processing, portability, and power of sensing, have greatly changed people’s lives. Today, many smartphones contain a variety of powerful sensors, including motion, location, network, and direction sensors. Motion or inertial [...] Read more.
The ubiquity of smartphones and the growth of computing resources, such as connectivity, processing, portability, and power of sensing, have greatly changed people’s lives. Today, many smartphones contain a variety of powerful sensors, including motion, location, network, and direction sensors. Motion or inertial sensors (e.g., accelerometer), specifically, have been widely used to recognize users’ physical activities. This has opened doors for many different and interesting applications in several areas, such as health and transportation. In this perspective, this work provides a comprehensive, state of the art review of the current situation of human activity recognition (HAR) solutions in the context of inertial sensors in smartphones. This article begins by discussing the concepts of human activities along with the complete historical events, focused on smartphones, which shows the evolution of the area in the last two decades. Next, we present a detailed description of the HAR methodology, focusing on the presentation of the steps of HAR solutions in the context of inertial sensors. For each step, we cite the main references that use the best implementation practices suggested by the scientific community. Finally, we present the main results about HAR solutions from the perspective of the inertial sensors embedded in smartphones. Full article
(This article belongs to the Special Issue Sensor Technologies for Smart Industry and Smart Infrastructure)
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Open AccessArticle
Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure
Sensors 2019, 19(12), 2757; https://doi.org/10.3390/s19122757
Received: 29 March 2019 / Revised: 10 June 2019 / Accepted: 17 June 2019 / Published: 19 June 2019
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Abstract
The quality of the air in underground mines is a challenging issue due to many factors, such as technological processes related to the work of miners (blasting, air conditioning, and ventilation), gas release by the rock mass and geometry of mine corridors. However, [...] Read more.
The quality of the air in underground mines is a challenging issue due to many factors, such as technological processes related to the work of miners (blasting, air conditioning, and ventilation), gas release by the rock mass and geometry of mine corridors. However, to allow miners to start their work, it is crucial to determine the quality of the air. One of the most critical parameters of the air quality is the carbon monoxide (CO) concentration. Thus, in this paper, we analyze the time series describing CO concentration. Firstly, the signal segmentation is proposed, then segmented data (daily patterns) is visualized and statistically analyzed. The method for blasting moment localization, with no prior knowledge, has been presented. It has been found that daily patterns differ and CO concentration values reach a safe level at a different time after blasting. The waiting time to achieve the safe level after blasting moment (with a certain probability) has been calculated based on the historical data. The knowledge about the nature of the CO variability and sources of a high CO concentration can be helpful in creating forecasting models, as well as while planning mining activities. Full article
(This article belongs to the Special Issue Sensor Technologies for Smart Industry and Smart Infrastructure)
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Open AccessArticle
A Secure Mutual Batch Authentication Scheme for Patient Data Privacy Preserving in WBAN
Sensors 2019, 19(7), 1608; https://doi.org/10.3390/s19071608
Received: 1 March 2019 / Revised: 18 March 2019 / Accepted: 26 March 2019 / Published: 3 April 2019
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Abstract
The current advances in cloud-based services have significantly enhanced individual satisfaction in numerous modern life areas. Particularly, the recent spectacular innovations in the wireless body area networks (WBAN) domain have made e-Care services rise as a promising application field, which definitely improves the [...] Read more.
The current advances in cloud-based services have significantly enhanced individual satisfaction in numerous modern life areas. Particularly, the recent spectacular innovations in the wireless body area networks (WBAN) domain have made e-Care services rise as a promising application field, which definitely improves the quality of the medical system. However, the forwarded data from the limited connectivity range of WBAN via a smart device (e.g., smartphone) to the application provider (AP) should be secured from an unapproved access and alteration (attacker) that could prompt catastrophic consequences. Therefore, several schemes have been proposed to guarantee data integrity and privacy during their transmission between the client/controller (C) and the AP. Thereby, numerous effective cryptosystem solutions based on a bilinear pairing approach are available in the literature to address the mentioned security issues. Unfortunately, the related solution presents security shortcomings, where AP can with ease impersonate a given C. Hence, this existing scheme cannot fully guarantee C’s data privacy and integrity. Therefore, we propose our contribution to address this data security issue (impersonation) through a secured and efficient remote batch authentication scheme that genuinely ascertains the identity of C and AP. Practically, the proposed cryptosystem is based on an efficient combination of elliptical curve cryptography (ECC) and bilinear pairing schemes. Furthermore, our proposed solution reduces the communication and computational costs by providing an efficient data aggregation and batch authentication for limited device’s resources in WBAN. These additional features (data aggregation and batch authentication) are the core improvements of our scheme that have great merit for limited energy environments like WBAN. Full article
(This article belongs to the Special Issue Sensor Technologies for Smart Industry and Smart Infrastructure)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Energy-Efficient Barrier Lifetime Prolonging Scheme Based on Repairing in Directional Sensor Networks

Authors: Xinggang Fan

Abstract:  Recovery scheme is necessary to ensure the quality of barrier coverage in directional sensor networks. As nodes have limited battery and their energies are not renewable, efficient prolonging scheme of barrier lifetime is required. In fact, there are some residual nodes that are unused to form barrier because of random deployment. Although barrier hole exists, many barrier nodes could effectively detect the intruder. This paper studies the barrier hole, creates its repairing region only by rotation (RepR) according to the geometric characteristics, and investigates efficient movement of residual nodes. Based on this, it proposes a prolonging scheme to schedule optimal mobile nodes to repair barrier hole with minimum energy consumption, fully exploit residual resources (unused nodes and power) to increase network service time. Compared to other methods, simulation results show that our method could prolong lifetime with high efficiency.

 

Title: Research on Optimal Energy Resources Allocation Method of Wireless Sensor Networks for Intelligent Railway System

Authors: Sheng Bin

Abstract: The rapid increase of train speed has brought greater challenges to the safety and reliability of railway system. Therefore, it is necessary to monitor the service status of trains, infrastructure and their operating envi-ronment in real time. Because the operation environment of railway system is complex, the construction cost of wired monitoring system is high, and it is difficult to achieve full coverage in the operation area of harsh environment, so wireless sensor network is very suitable for the condition monitoring of railway system. Energy resources of nodes are the basis of ensuring the lifecycle of wireless sensor networks, and it severely restricts the sustainabil-ity of wireless sensor networks. An optimal energy resources allocation method of wireless sensor networks for intelligent railway system is pro-posed in this paper. Through choosing cluster heads and optimizing clusters, the energy consumption of nodes can be minimized and balanced, thus the lifetime of wireless sensor networks would be maximization.

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