Distributed and Pervasive Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 26179
Special Issue Editors
Interests: protective coatings; distributed sensing; environmental monitoring; self-decontaminating materials, and natural products
Special Issues, Collections and Topics in MDPI journals
Interests: distributed sensing; wireless networks; chemical sensors; autonomous vehicles; machine learning; internet of things; electronics; firmware development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fault-tolerant, wireless networks that incorporate sensors for monitoring physical characteristics, such as temperature, vibration, and proximity, have been realized for application in a range of industrial settings. For other applications, the development of such sensing networks is limited by the availability of low-cost, low-power, or miniaturized sensing technologies. Chemical and biological sensors, for example, have traditionally been developed for high analytical sensitivity and specificity, resulting in large, power-hungry, and often expensive systems unsuitable to redundancy and distribution. Efforts in this area have begun to consider materials and approaches that provide information of lesser specificity or sensitivity while offering high spatial and temporal resolution. This Special Issue highlights developments in the area of distributed and pervasive sensing networks, including systems, devices, enabling methods, and materials that facilitate the use of these approaches in under-served spheres or for unrealized applications.
Dr. Brandy J. Johnson
Dr. Jeffrey S. Erickson
Guest Editors
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Keywords
- distributed sensing;
- pervasive sensing;
- perimeter monitoring;
- area monitoring;
- health-related monitoring;
- environmental monitoring;
- sensor networks;
- autonomous sensors;
- sensor bundles;
- event mapping;
- plume progression and prediction;
- Internet of Things (IoT)-related technologies;
- detection algorithms;
- decision-making frameworks;
- information security;
- data throughput;
- miniaturized and autonomous devices.
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