Dependability in IoT Systems/Tools/Apps and Applications

  in Special Issue   Posted on November 16, 2020

Information for the Special Issue

Submission Deadline: Wed 30 Jun 2021
Journal Impact Factor : 2.552
Journal Name : Journal of Systems Architecture
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

The impressive future influence of the Internet of Things (IoT) in society, industry, and commerce is already widely recognized. The connected things around us can make our lives and our work simpler, safer, and more convenient—and the IoT can help us tackle big problems like environmental sustainability, chronic disease management, monitoring tasks. Though IoT plays an increasing role in the world, ensuring its dependability should be more essential. Dependability is defined as the quality of being able to be relied upon on the IoT systems, its tools/apps, which can be a measure of the reliability, availability, integrity, safety, security, privacy, and maintainability of IoT systems/apps/tools (SAT). Looking into the IoT SAT more deeply, the “dependability” can be in terms of ultra-high data trust, data quality, QoS, data privacy risk, cross-border data flow, data retention, service trust, connectivity, fault-tolerance, low latency, and so on, which are still early stage in research. As there is a significant increase in IoT device divergency, data communication, data scale, veracity, and complexity, the “dependability” concerns increase. Despite recent research innovations, integration of dependability aspects into the design and development of IoT SAT and applications are still missing.

Therefore, this SI solicits papers covering the design and development of IoT systems/tools/apps (SAT) and applications with dependability support to provide steady operations, cost-efficient, and high-quality results in the IoT. The scope and interests for the special issue include but are not limited to the following list:

  • Dependability in the design and development of IoT SAT
  • Dependability in machines, tools, apps, and techniques used for IoT
  • Dependability in sensor software and hardware designs for IoT
  • Dependability in IoT software services and open source software
  • Dependability in predictive maintenance, equipment, and process monitoring
  • Dependability through fault-tolerance and recovery in IoT SAT
  • Dependability of IoT Software as a Service (SaaS)
  • Dependability of IoT software dealing with big data
  • Dependability in holistic co-design of wireless and control of IoT
  • Dependability in IoT software security, privacy, and trust
  • Dependability in IoT application software (e.g., healthcare, plants, SHM, robotics)
  • Dependability in cloud/edge/fog assisted IoT SAT
  • Dependability assessment, metrics, evaluation, and prediction for IoT SAT

All original manuscripts that fit within the scope are welcome but are not guaranteed acceptance. The guest editors will do a Quick Review (roundpass) of submission considering the scope, quality, novelty, new contributions, presentation, and sufficient new materials (if extension). If a submission does not seem to meet certain criteria, an early rejection would be notified.

Submission Details:

General information for submitting papers to JSA can be found at Submissions should be made online at Please select the “VSI: DependSys-IoT21” option as type of the paper. Please direct all inquiries regarding this SI to Zakirul Alam Bhuiyan (

JSA has adopted the Virtual Special Issue model to speed up the publication process, where Special Issue papers are published in regular issues, but marked as SI papers. Acceptance decisions are made on a rolling basis. Therefore, authors are encouraged to submit papers early, and need not wait until the submission deadline.

Important Dates:
Submission of manuscripts: 30 June 2021
First notification: 30 September 2021
Revision Due: 15 November 2021
Final notification: 30 December 2021

Guest Editors:
Zakirul Alam Bhuiyan, Fordham University, USA
Sy-Yen Kuo, National Taiwan University, Taiwan
Guojun Wang, Guangzhou University, China

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