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Multi-modal Sensor Data Fusion in Internet of Things

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. 

Edited by: Shaohua Wan, Zan Gao, Yuan Yuan and Zonghua Gu 

  1. With the rapid development and large-scale uptake of the Internet of Things, smart home is evolving from a vision towards a realistically viable solution for assisted living. Activity recognition is one of the...

    Authors: Qingjuan Li, Huansheng Ning, Tao Zhu, Shan Cui and Liming Chen

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:251

    Content type: Research

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  2. Large-scale applications of Internet of things (IoT), which require considerable computing tasks and storage resources, are increasingly deployed in cloud environments. Compared with the traditional computing ...

    Authors: Xiaojin Ma, Honghao Gao, Huahu Xu and Minjie Bian

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:249

    Content type: Research

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  3. With the development of the meteorological IoT (Internet of Things) and meteorological sensing network, the collected multi-source meteorological data have the characteristics of large amount of information, m...

    Authors: Ming Yang, Wenchun He, Zhiqiang Zhang, Yongjun Xu, Heping Yang, Yufeng Chen and Xiaolong Xu

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:241

    Content type: Research

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  4. Over the past years, with the development of hardware and software, the intelligent sensors, which are deployed in the wearable devices, smart phones, and etc., are leveraged to collect the data around us. The...

    Authors: Zhanyang Xu, Xihua Liu, Gaoxing Jiang and Bowei Tang

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:236

    Content type: Research

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  5. Nowadays, recommender system has become one of the main tools to search for users’ interested papers. Since one paper often contains only a part of keywords that a user is interested in, recommender system ret...

    Authors: Hanwen Liu, Huaizhen Kou, Chao Yan and Lianyong Qi

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:233

    Content type: Research

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  6. Data collection is the basic functions of the Internet of Things (IoT), in which the sensed data are concentrations from sensor nodes to the sink, with a timely style, so the smart response can be done for eme...

    Authors: Xuemei Xiang, Wei Liu, Tian Wang, Mande Xie, Xiong Li, Houbing Song, Anfeng Liu and Guoping Zhang

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:168

    Content type: Research

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  7. The ever-increasing popularity of mobile devices (e.g., mobile phones and smart watches) has created a variety of crowdsourcing applications by employing the massive and distributed mobile computing resources....

    Authors: Yanwei Xu, Hanwen Liu and Chao Yan

    Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:113

    Content type: Research

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