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Journal of Grid Computing

From Grids to Cloud Federations

Publishing model:
Hybrid

Journal of Grid Computing - Artificial Intelligence (AI)-enabled Blockchain for the Edge of Things (EoT)

With the advancement in IoT technology, its applications have been adopted rapidly in different domains to create smart environments like smart homes, smart agriculture, smart healthcare, Insurance, UAVs, smart Industry 4.0 etc. It is difficult for IoT devices to manage, transmit and process an enormous amount of data due to their limited storage and computation capability. The cloud paradigm offers a promising solution in this context, but is not feasible for latency-sensitive applications like vehicular networks, critical healthcare applications, virtual reality, video surveillance, etc. Hence, the integration of edge computing and IoT framework (Edge of Things) is required to handle the above-mentioned issues, where edge offers a complementary solution by providing the computation, storage, and communication services to IoT applications at edge of the network, hence optimizing the significant parameters such as response time, network load, energy efficiency and bandwidth. As IoT data travels across the network, the chances of privacy and security threats increases tremendously. To overcome the security issues, blockchain offers a promising solution for the protection of data in a secure manner with data immutability, scalability, and its decentralized environment. 

The role of artificial intelligence is to make the device/system smart and capable enough for imparting the right offloading decision with fast processing capabilities. It consequently helps in minimizing the condition of network overloading, hence balancing the incoming workload. AI-enabled blockchain has become a remarkable technology which prompts faster and influential development of edge of things eco-systems with mind-boggling development and possessing expansive potential. Although, there are several benefits of AI-enabled blockchain, but still, it is naïve and possess several challenges, such as lack of consensus towards any reference models or best practices, failure to provide a scalable environment, inability to identify malicious behaviors, detecting susceptible codes in smart contracts and maintaining reliable blockchain systems for the edge of things paradigm. So, it becomes essential to propose and develop an AI-enabled blockchain-based framework for the edge of things paradigm that can potentially address the above-mentioned challenges in the existing system. 

This special issue focuses on theoretical and practical approaches to building a trusted and smart IoT system architecture for the latency sensitive applications, where researchers will encourage to work in the domain of Blockchain based intelligent emerging computing paradigm for IoT applications. Our objective is to collect the advanced state of arts techniques for the edge of things using blockchain and artificial intelligence technologies. We welcome researchers and practitioners from industries and academia to present their valued high-quality contributions. 

We solicit research works from the following fields: 

  • AI enabled IoT networks.
  • Role of AI enabled blockchain in emerging computing paradigm.
  • AI based offloading decision for Edge of Things.
  • Intelligent and secure framework for Edge of Things.
  • AI-enabled blockchain-based technique to detect susceptible codes in smart contracts.
  • Energy-aware intelligent resource allocation for Edge devices.
  • AI-enabled blockchain-based scalable environment for IoT networks.
  • Simulation and case study about the smart blockchain.
  • Development of intelligent blockchain based solution of IoT applications.
  • Intelligent blockchain for IoT enabled wireless Networks.
  • Intelligent serverless computing for IoT networks.
  • Protocols and Design for Intelligent IoT networks.
  • Intelligent workload distribution approaches in Edge of Things.
  • Smart privacy preserving approaches for Edge of Things.
  • Trusted resource provisioning for intelligent IoT and edge devices.

Guest Editor Information:

Dr. Mohit Kumar
Faculty in Department of Information Technology
National Institute of Technology (NIT), Jalandhar, India.
e-mail: kumarmohit@nitj.ac.in (this opens in a new tab)
Google Scholar: https://scholar.google.co.in/citations?user=5zbn8FcAAAAJ&hl=en (this opens in a new tab)


Prof. Gautam Srivastava
Associate Professor, Brandon University, Canada
e-mail: srivastavag@brandonu.ca
Google Scholar: https://scholar.google.ca/citations?user=qk9hEQoAAAAJ&hl=en (this opens in a new tab)
 

Prof. Yanhui Guo
University of Illinois, US.
e-mail: yguo56@uis.edu (this opens in a new tab)
Google Scholar: https://scholar.google.com/citations?user=kJZUYI0AAAAJ&hl=en (this opens in a new tab)


Tentative schedule for this special issue:

  • First submission Deadline: 31 July 2023 
  • Notification of First Round Decision: 20 September 2023
  • Revised Paper Submission Deadline: 30 November 2023
  • Notification of Final Decision: 30 January 2024
  • Final Paper Submission Deadline: 30 March 2024

Download full details here: Artificial Intelligence (AI)-enabled Blockchain for the Edge of Things (EoT) (this opens in a new tab)


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