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Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors
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Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors

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

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 11986

Special Issue Editors

Prof. Dr. Prabir Kumar Dutta

E-Mail Website1 Website2
Guest Editor
Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA
Interests: harsh environment sensors both for industrial and biomedical applications; ZeoVation, focused on zeolitic microporous materials with added functionalities for environmental and consumer markets
Special Issues, Collections and Topics in MDPI journals
Dr. Bo Wang

E-Mail Website
Guest Editor
ZeoVation, 1275 Kinnear Rd Suite 232, Columbus, Ohio 43212-1180
Interests: Environmental sensors, commercialization of sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Yangong Zheng

E-Mail Website
Guest Editor
Faculty of Electrical Engineering and Computer Science, Ningbo University, 818 Fenghua Rd, Jiangbei District, Ningbo 315000, Zhejiang, China
Interests: Microwave sensing materials and electronic nose; including gas sensing materials and signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensing in harsh industrial and biological environments require unique sensing strategies. Particular attention needs to be paid to materials, as well as sensing principles. This Special Issue is dedicated to state-of-the-art research that is focused on detection of specific target molecules in difficult conditions, including high temperatures, in the human body and human breath, and under complex and changing environmental conditions. Papers describing novel sensing paradigms, sensing mechanisms, sensor miniaturization, practical sensor technology and applications are of interest. Sensors that exploit the Internet-of-things (IoT) to enhance the information content are also of particular interest.

Prof. Dr. Prabir K. Dutta
Dr. Bo Wang
Dr. Yangong Zheng
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. 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 2600 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

  • biomedical
  • environmental
  • industrial
  • harsh environment
  • Internet of Things (IoT)
  • diagnostics
  • safety
  • process control
  • disease diagnosis
  • electrochemical
  • optical
  • miniaturization

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Published Papers (3 papers)

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Research

23 pages, 1125 KiB  
Article
Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT
by Shiming He, Yangning Tang, Zhuozhou Li, Feng Li, Kun Xie, Hye-jin Kim and Gwang-jun Kim
Sensors 2019, 19(18), 3978; https://doi.org/10.3390/s19183978 - 14 Sep 2019
Cited by 23 | Viewed by 3352
Abstract
The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and [...] Read more.
The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT. Full article
(This article belongs to the Special Issue Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors)
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20 pages, 3873 KiB  
Article
Travel Route Planning with Optimal Coverage in Difficult Wireless Sensor Network Environment
by Yu Gao, Jin Wang, Wenbing Wu, Arun Kumar Sangaiah and Se-Jung Lim
Sensors 2019, 19(8), 1838; https://doi.org/10.3390/s19081838 - 17 Apr 2019
Cited by 18 | Viewed by 3528
Abstract
In recent years, wireless sensor networks (WSNs) have been widely applied to sense the physical environment, especially some difficult environment due to their ad-hoc nature with self-organization and local collaboration characteristics. Meanwhile, the rapid development of intelligent vehicles makes it possible to adopt [...] Read more.
In recent years, wireless sensor networks (WSNs) have been widely applied to sense the physical environment, especially some difficult environment due to their ad-hoc nature with self-organization and local collaboration characteristics. Meanwhile, the rapid development of intelligent vehicles makes it possible to adopt mobile devices to collect information in WSNs. Although network performance can be greatly improved by those mobile devices, it is difficult to plan a reasonable travel route for efficient data gathering. In this paper, we present a travel route planning schema with a mobile collector (TRP-MC) to find a short route that covers as many sensors as possible. In order to conserve energy, sensors prefer to utilize single hop communication for data uploading within their communication range. Sojourn points (SPs) are firstly defined for a mobile collector to gather information, and then their number is determined according to the maximal coverage rate. Next, the particle swarm optimization (PSO) algorithm is used to search the optimal positions for those SPs with maximal coverage rate and minimal overlapped coverage rate. Finally, we schedule the shortest loop for those SPs by using ant colony optimization (ACO) algorithm. Plenty of simulations are performed and the results show that our presented schema owns a better performance compared to Low Energy Adaptive Clustering Hierarchy (LEACH), Multi-hop Weighted Revenue (MWR) algorithm and Single-hop Data-gathering Procedure (SHDGP). Full article
(This article belongs to the Special Issue Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors)
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19 pages, 1221 KiB  
Article
Enhancing Sensor Network Security with Improved Internal Hardware Design
by Weizheng Wang, Zhuo Deng and Jin Wang
Sensors 2019, 19(8), 1752; https://doi.org/10.3390/s19081752 - 12 Apr 2019
Cited by 11 | Viewed by 4498
Abstract
With the rapid development of the Internet-of-Things (IoT), sensors are being widely applied in industry and human life. Sensor networks based on IoT have strong Information transmission and processing capabilities. The security of sensor networks is progressively crucial. Cryptographic algorithms are widely used [...] Read more.
With the rapid development of the Internet-of-Things (IoT), sensors are being widely applied in industry and human life. Sensor networks based on IoT have strong Information transmission and processing capabilities. The security of sensor networks is progressively crucial. Cryptographic algorithms are widely used in sensor networks to guarantee security. Hardware implementations are preferred, since software implementations offer lower throughout and require more computational resources. Cryptographic chips should be tested in a manufacturing process and in the field to ensure their quality. As a widely used design-for-testability (DFT) technique, scan design can enhance the testability of the chips by improving the controllability and observability of the internal flip-flops. However, it may become a backdoor to leaking sensitive information related to the cipher key, and thus, threaten the security of a cryptographic chip. In this paper, a secure scan test architecture was proposed to resist scan-based noninvasive attacks on cryptographic chips with boundary scan design. Firstly, the proposed DFT architecture provides the scan chain reset mechanism by gating a mode-switching detection signal into reset input of scan cells. The contents of scan chains will be erased when the working mode is switched between test mode and functional mode, and thus, it can deter mode-switching based noninvasive attacks. Secondly, loading the secret key into scan chains of cryptographic chips is prohibited in the test mode. As a result, the test-mode-only scan attack can also be thwarted. On the other hand, shift operation under functional mode is disabled to overcome scan attack in the functional mode. The proposed secure scheme ensures the security of cryptographic chips for sensor networks with extremely low area penalty. Full article
(This article belongs to the Special Issue Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors)
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