The diversification and customization of intelligent sensors, such as wearable devices, smart phones and driving assistants, have accelerated the procedure of social informatization. Whenever and wherever, all sorts of data are collected, transmitted, aggregated and processed for the purpose of decision or even prediction for IoT (Internet of Things) application. Nevertheless, since the precision of analyzing result is always determined by accessible information volume, multifarious data should be assembled from multiple sources.
Considering the diversity of sensing devices and data granularity, the heterogeneity of information is inevitable with respect to data type, sampling interval, context scenario or privacy level. In order to address the aforementioned problem of data isomerism, appropriate data fusion algorithms are of great significance for intended analyzing. Moreover, oriented to different applications, the requirements of specific systems including mobility, reliability, security and real-time should also be fulfilled which bring about tremendous challenges to it.
This special issue focuses on sharing recent advances in methods and applications which involve combining multimodal sensory data in IoT. Suggested topics include, but are not limited to, the following.
- Multi-modal sensor spatio-temporal data fusion
- Time series multi-modal data analysis
- Deep learning models for multimodal fusion and analysis
- Multi-sensor fusion with deep learning
- Feature fusion using deep learning models
- Data-driven and knowledge-driven reasoning models
- Security & privacy issues for multi-modal sensor data
- Applications of multimodal deep learning in image and video related areas, such as object detection/recognition, human activity recognition
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for EURASIP Journal on Wireless Communications and Networking. The complete manuscript should be submitted through the EURASIP Journal on Wireless Communications and Networking submission system. To ensure that you submit to the correct special issue please select the appropriate special issue in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on 'Multi-modal Sensor Data Fusion in Internet of Things'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Manuscript submission due: 1st July 2019
Shaohua Wan, Zhongnan University of Economics and Law, China (firstname.lastname@example.org)
Zan Gao, Qilu University of Technology, China (email@example.com)
Yuan Yuan, Michigan State University, USA (firstname.lastname@example.org)
Zonghua Gu, Umea University, Sweden (email@example.com)