Smart Industrial Wireless Sensor Networks

Dear Colleagues,

Researchers are in the pursuit of emerging technologies that enable human-centric or machine-centric networks to meet the evolving requirements (e.g., factory automation, fault diagnosis, fuel consumption monitoring, surveillance, etc.) in industries. Toward this goal, Smart Industrial Wireless Sensor Networks (SIWSNs) are identified as an essential technology. Particularly, on the one hand, with SIWSNs, data sensing, gathering and communication are performed intelligently by all kinds of industrial wireless sensors (e.g., photoelectric sensor, ultrasonic sensor, gas sensor, video sensor, etc.). Thus, various industrial data can be exchanged and managed autonomously and efficiently. On the other hand, due to the ease of deployment and flexibility of SIWSNs, the inherent drawbacks of wired industrial networks can be well overcome.

However, to utilize SIWSNs in a robust manner, there are a lot of tough issues to be addressed (e.g., coverage, localization, middleware, energy efficiency, quality of service, security, etc.). Moreover, with the recent adoption of cloud computing and big data technologies in industries, new issues might be posed for SIWSNs.

Therefore, this Topical Collection aims to solicit high quality original technical or experimental papers which concern the current development or future challenge for SIWSNs. Review or survey papers will also be considered. Potential topics include, but are not limited to:

• Wireless access for SIWSNs

• Coverage for SIWSNs

• Localization for SIWSNs

• Data aggregation for SIWSNs

• Data management for SIWSNs

• Middleware for SIWSNs

• Energy efficiency for SIWSNs

• Quality of service for SIWSNs

• Security for SIWSNs

• Cloud computing for SIWSNs

• Big data for SIWSNs

Prof. Dr. Lei Shu
Prof. Dr. Gerhard P. Hancke
Dr. Chunsheng Zhu
Collection Editors

Manuscript Submission Information

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