Internet of Things-Based E-nose
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 7470
Special Issue Editor
Interests: instrumentation systems; characterization sensors; gas sensors and their applications; smart sensors; IoT; data milling; wireless sensor networks
Special Issue Information
Electronic nose (E-Nose) instruments are able to simulate the human nose, replicating the four fundamental functions of smell sense: detection, recording, memory search, and identification. With the advent of new and cheaper sensors in recent years, the use of olfactory systems in homes, industries, and hospitals has received renewed interest. The use of multisensor systems can improve the ability to distinguish between complex mixtures of volatile substances.
The traditional E-Nose, with its large number of sensors ranging from 8 to 32 or more, raise difficulties in terms of integrating them in an embedded system for the new technology wave of ‘Internet of Things’ (IoT) applications, oriented to low-power and low-cost applications, because the level of computing and electrical power consumption demands of this system are high. Furthermore, feature parameter extraction and classification play an important role in the performance of electronic noses. Therefore, it is important to optimize the sensor array, extracted feature subset, and classifications algorithms of E-Nose systems to ensure they are widely integrated with IoT.
The aim of this Special Issue is to provide a platform for researchers and designers to share and highlight their latest developments on the topic of Internet of Things-based E-Nose. The editors invite original manuscripts presenting recent advances in these fields, and are particularly looking for papers reporting on the experimental results of deployed systems as well as summaries of challenges or advancements, measurements, and innovative applications.
Dr. José Pelegrí Sebastiá
Guest Editor
Manuscript Submission Information
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Keywords
- electronic nose sensor technology and applications
- new designs of smart E-Nose for IoT
- sensor matrix data for smart E-Nose
- internet-based IP network for E-Nose
- database server system
- IoT web communication design
- classification algorithms and feature techniques for embedded E-Nose
- modular platform design based on Internet of Things E-Nose technology
- applications of IoT E-Nose
