Active Intelligent Sensors for Better Data Acquisition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 59
Special Issue Editor
Interests: distributed embedded systems; Internet of Things; cyber-physical systems; smart manufacturing; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Active sensors are systems that play a proactive role in the data acquisition process. They do not only sense the phenomenon of interest but also put in place strategies to actively probe the sensed environment to obtain new types of data or improve the quality of data.
Active sensing is not a new phenomenon, e.g., the echolocation of bats; however, electronic sensing is traditionally considered to be mainly passive, except for sensors that mimic nature.
We can start the list of modern active sensors by considering LIDAR and its evolutions. Recent advancements in artificial intelligence have opened a new way to build active artificial sensors. In a telecommunication context, by integrating sensing into communication tasks, the network acts as a “radar” sensor, using its own radio signals to sense and comprehend the physical world in which it operates. This approach allows the network to collect data on the range, velocity, position, orientation, size, shape, image, and materials of objects and devices. Finally, quantum theory disrupts several fields of computer engineering, and quantum sensors hopefully can beat current limits in sensor technology by exploiting mechanisms like quantum interference, which is an active sensing concept.
In this Special Issue, we are interested in considering sensory systems and methodologies in which at least one of the following conditions holds:
- The sensing target is actively probed.
- Artificial intelligence is used not only to clean already captured data but also to capture new data in a better way.
Please note that manuscripts that explicitly refer to defense and military operations are outside the scope of this Special Issue according to the Sustainable Development Goal 16 of the United Nations.
Dr. Davide Quaglia
Guest Editor
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Keywords
- active sensing techniques based on correlations in multi-dimensional data (eg, the spatial-aware acquisition of time data series)
- active sensing involving mobile data acquisition
- relationship between sensing and communication, as in new wireless telecommunication paradigms concepts like "integrated sensing and communications" and "sensing for communications and communications for sensing" are relevant
- nature-inspired active sensing, eg, approaches based on lidar and time-of-flight computation
- quantum sensing
- hardware issues for active sensing, eg, in the presence of hardware constraints
- research involving TinyML is also relevant
- active sensing exploiting sensor networks
- active sensing and digital twins
- application of active sensing to, eg, localization and people counting with reference to fields such as ambient intelligence, robotic systems, agri-food, healthcare, and transport
