Special Issue "Fog/Edge Computing-Based Smart Sensing System"
Deadline for manuscript submissions: 20 February 2020
The Fourth International Symposium on Sensor-Cloud Systems (SCS 2019, http://www.spaccs.org/SCS2019/) will be held in Atlanta, America, July 14-17, 2019, in conjunction with "The 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2019)". Moreover, the 7th International Conference on Smart Cities and Informatization (iSCI 2019) will be held in Guangzhou, China, November 12-15, 2019.
This Special Issue is cooperating with SCS 2019 and iSCI 2019. Authors of outstanding papers related to sensors presented at these conferences are invited to submit extended versions of their work to the Special Issue for publication.
Wireless sensor networks (WSNs) and cloud computing have received tremendous attention from both academia and industry, as they now own numerous exciting applications in the Internet of Things and smart cities, which can fundamentally change the way people interact with the physical world.
However, there are still challenges that need to be addressed in order to accelerate the development of these integrated systems. First, current techniques of cloud computing cannot satisfy real-time requirements. The cloud cannot respond to sensors’ emergency requests. Second, communication from sensors to the cloud is a big problem, because sensors are with low bandwidth and low energy supplies. Third, as sensors are weak in processing and communication abilities, it is difficult for the cloud to guarantee the stability of the connection or even tolerate errors in that data. Finally, when sensors upload data to cloud for storage, the best way to ensure the data security and privacy in the cloud environment is unclear.
Compared with cloud computing, fog/edge computing is a promising technique for sensor–cloud systems. Fog/edge computing is proposed to enable computing directly at the edge of networks, delivering applications and services especially for IoT or smart cities. These fog devices, called fog nodes, have some local computation and storage capacity, wide geo-distribution-like sensors, and support for mobility. They can be industrial controllers, switches, routers, embedded servers, and video surveillance cameras, and they can be deployed anywhere with network connections. Serving as a link between sensor networks and the cloud, the fog can process and store data near where they are produced and then manage and control sensors at a short distance. In this way, fog/edge computing can extend cloud computing and cover its shortage in smart sensing system.
Prof. Tian Wang
Prof. Geyong Min
Prof. Md Zakirul Alam Bhuiyan
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- concepts, theory, standardization and modelling, and methodologies for sensor-cloud systems
- fog computing framework for sensor-cloud system
- fog computing for data collection of sensor-cloud systems
- fog computing for real-time computing of sensor-cloud systems
- fog computing for communications of sensor-cloud systems
- fog computing for reliabilities of sensor-cloud systems
- fog computing for data security of sensor-cloud systems
- fog computing for privacy of sensor-cloud systems
- fog computing for energy efficiency of sensor-cloud systems
- fog computing for trust and reputation evaluation of sensor-cloud systems
- fog computing for data Integrity of sensor-cloud systems
- fog based applications for sensor-cloud systems
- mobile fog computing for sensor-cloud systems
- mobile fog elements for sensor-cloud systems