Mobile Systems for Environmental Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (15 October 2021) | Viewed by 2818
Special Issue Editors
Interests: edge computing; cloud-to-thing-continuum; industrial IoT
Special Issues, Collections and Topics in MDPI journals
Interests: wireless networks; web squared; online entertainment; mobile applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Environmental sensing technology has reduced in size and cost and can now be deployed at many points across a city where it would have been impractical only a few years ago. Mobile technology has advanced to provide robust connectivity solutions, enabling these sensors to be deployed and exploited efficiently and effectively by city authorities and other bodies. Environmental monitoring can exploit IoT sensors, smartphones, UAVs and vehicles to measure many parameters in cities, the countryside, rivers, lakes and the sky, including air and water quality, weather, noise, traffic, smoke and crowding. As these systems grow in complexity, greater capability and flexibility are gained by extending the autonomy of system processes. With data processing close to the edge, quick responses to events are better assured, and with processing deployed across layers from the edge to the cloud, resilience and security are increased. Edge data analytics is gaining major importance, advocated to cope with the surge in IoT data, enabling fast and privacy-preserving computation. This Special Issue aims to investigate the design, implementation, deployment, operation and evaluation of mobile systems and solutions for environmental sensing with an emphasis on solutions that can synergistically leverage techniques and insights from the domains of sensing, networking, scalable computing and artificial intelligence (AI) technologies. Clearly, we are not only considering the so-called first world as the scenario for this evolution; we also refer to those areas where ICT is currently less widespread, hoping that it may represent a societal development opportunity rather than a source of further divides.
The topics of interest include but are not limited to:
- Wearable computing, sensing and context awareness;
- The management, configuration and deployment of systems supporting mobility;
- Data management and analytics at the edge;
- Mobile and pervasive systems with elements of networked sensing;
- Decentralized learning algorithms and models for environmental intelligence;
- Geospatial data analytics and algorithms;
- Environmental modelling and mapping;
- Data mining, machine learning and AI techniques for spatial–temporal analytics;
- Public mapping for better citizen engagement;
- Collaborative sensing, networking and computing.
Dr. Armir Bujari
Prof. Dr. Claudio Palazzi
Guest Editors
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