Special Issue "Sensor Technologies for Smart Industry and Smart Infrastructure"
Deadline for manuscript submissions: 31 December 2019.
Dr. Khalil El-Khatib
Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, Canada
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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
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Researchers are invited to submit new and unpublished technical and scientific research work for publication in a Special Issue on “Sensor Technologies for Smart Industry and Smart Infrastructure”.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
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.
- sensor technologies
- smart industry and smart infrastructure
- Internet of Things
- wireless sensor networks
- big data analytics
- energy management
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.