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Cloud Computing Internet of Things Architectures Special Issue

Editorial Board
Special Issue Editors:
  • Mohammad Ayoub Khan ()
Aims & Scope
The Internet of Things (IoT) includes items such as physical devices, cars, buildings with embedded hardware, applications, sensors, and network connectivity to store, send and receive data. The current IoT environment relies on a centralised (client/server) model. The connection, authentication and data processing of the devices are managed using cloud servers. This requires high processing power and storage capacity, even if devices happen to only be a few feet apart. However, for many applications, the low response latency for IoT services exists at the cost of computing complexity which is beyond the capabilities of IoT devices. To overcome this issue, mobile transparent computing, cloud computing and edge computing techniques are being developed. In the IoT, devices exchange data using cloud for scalable computation. Cloud computing has appeared as a paradigm for storage and analytics for IoT applications. Cloud computing and IoT can therefore enable many sensing services and processing of sensing data streams beyond the capability of individual Internet of Things, thus stimulating innovations in both fields. New algorithms for data fusion and machine learning techniques can be deployed to run either on centralised or distributed technologies, thereby facilitating self-decision making in IoT applications. The purpose of this Special Issue is to capture cloud computing and IoT trends which add value to applications. The Special Issue solicits original research, reviews and case studies on all topics related to the combination of cloud computing and IoT. The topics of interest include, but are not limited to:
  • Cloud computing and IoT
  • Cloud frameworks for IoT
  • Standardisation activities for IoT architectures
  • Applications for IoT supported by cloud computing
  • Block-chain for cloud computing and IoT
  • Cloud architectures and models for IoT
  • Mobile transparent and cloud computing in IoT
  • Convergence of energy harvesting and cloud computing in IoT
  • Security, privacy, integrity, and trust in IoT cloud computing
  • Hardware design and prototyping in IoT
  • Distributed monitoring, control and optimisation in IoT
  • Data driven modelling and analysis of IoT
  • Sensing and wireless technologies in IoT
  • Stability and optimal control of IoT
  • Testing and simulation platforms for cloud computing in IoT
  • Massive IoT
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):

Cloud Systems