Massive Sensory Data Management in WSN, IoT and CPS
A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Big Data, Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 6100
Special Issue Editor
Interests: distributed algorithms; wireless sensor networks; IoT; programmable master
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors and sensor networks are proliferating in many research domains such as the Internet of Things (IoT) and cyber–physical systems (CPS), and thus in many applications. Usually hundreds or thousands of sensor nodes are randomly deployed to collect environmental data from a region of interest. This makes WSNs one of the big data producers. Therefore, managing this huge amount of collected data is not an easy task, especially for sensors with limited energy and computational resources. This Special Issue aims to solicit recent research in big data management, from data acquisition to analysis, for WSN, IoT and CPS.
Topics of primary interest are centered around sensory data management, including but not limited to:
- Sensory data acquisition and prediction
- Sensory data aggregation
- Multisensory data fusion
- Sensory data routing and processing
- Data storage strategies
- Sensory data mining and machine learning
- Virtualization technologies and cloud computing for sensory data
Prof. Abdallah Makhoul
Guest Editor
Manuscript Submission Information
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