Emerging Intelligent Algorithms for Edge-of-Things Computing

EURASIP Journal on Wireless Communications and Networking welcomes submissions to the special issue on Emerging Intelligent Algorithms for Edge-of-Things Computing.

The cloud-based Internet of Things (IoT) is used to connect a wide range of things such as vehicles, mobile devices, sensors, industrial equipments and manufacturing machines etc. In recent years, IoT is widely applied in many areas it includes a development of smart city and smart home, smart grid, smart vehicle, smart health and smart environmental monitoring.  The IoT is leading a new era of computing where intelligent applications efficiently monitor and control connected devices, and transform IoT sensor data into knowledge representations. By intelligently investigating and collecting large amounts of data (big data), smart systems can enhance the decision making, business flows, automate industrial control processes, successful production, and economic results. Nowadays, cloud-based IoT sytems generate a large volume of data that cannot be processed by traditional data processing algorithms and applications. This would create more complexities to ensure scalability, mobility, reliability, low latency, network bandwidth consumption and energy efficiency of IoT devices while moving the IoT sensor data to the cloud. The emerging edge computing technologies, IoT and rich cloud services are used to create a novel technology called Edge-of-Things (EoT). In EoT, data processing occurs in part at the network edge or between the cloud-to-end that can best meet customer necessities, rather than entirely processing in a comparatively less number of massive clouds. The main challenge in EoT is how to manage with emerging IoT environments, where a large number of connected devices participate for restricted wireless resources and where heterogeneity is ever-increasing. In order to overcome this issue, there is an urgent need for more intelligent algorithms and architectures that lead to more interoperable solutions and that can make effective decisions in emerging EoT.

Topics of interest include but are not limited to:

  • Novel edge computing architecture in EoT
  • Intelligent algorithms for EoT
  • Agent based algorithms for EoT
  • Semantic computing in EoT
  • Big data analytics in EoT
  • Social intelligence in EoT
  • Trust, security and privacy issues in EoT
  • Programming models, APIs and toolkits for EoT
  • Cognitive edge computing in EoT
  • Autonomic resource management for EoT
  • Context-awareness for EoT
  • Swarm Intelligence based algorithms for EoT

Submission Instructions

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 Emerging Intelligent Algorithms for Edge-of-Things Computing. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.

Deadline for submissions: 28 June 2018


Lead Guest Editor
Gunasekaran Manogaran, VIT University, India​​​​​​​

Guest Editors
Naveen Chilamkurti, LaTrobe University, Australia
Ching-Hsien Hsu, Chung Hua University, Taiwan
Bharat S. Rawal, Pennsylvania State University, USA


Submissions will also benefit from the usual advantages of open access publication: 

Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient 

High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article 

No space constraints: Publishing online means unlimited space for figures, extensive data and video footage

Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed 

For editorial enquiries please contact amorliza.miciano@springernature.com. 

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