Call for Papers for Internet of Things for Efficient Energy Management of Computing Resources

  in Special Issue   Posted on November 2, 2017

Information for the Special Issue

Submission Deadline: Wed 30 May 2018
Journal Impact Factor : 1.800
Journal Name : Sustainable Computing-Informatics & Systems
Journal Publisher:
Website for the Special Issue: http://www.journals.elsevier.com/sustainable-computing/call-for-papers/call-for-papers-for-special-issue-on-internet-of-things-for
Journal & Submission Website: http://www.journals.elsevier.com/sustainable-computing

Special Issue Call for Papers:

Scope: Internet of Things (IoT) vision is to create a hyper-connected global ecosystem in which embedded systems communicate with other whenever needed to deliver highly diversified services to users. IoT enables humans to access, control and manage the operations of the objects working under different information systems. Currently IoT systems are applied in the areas like smart cities, health systems, smart homes, etc. Due to the large number of heterogeneous elements interacting and working under IoT systems, there is an enormous need of resource management for the smooth running of IoT operations. Optimizing the computing resources needed by IoT systems needs to be performed at device layer, networking layer, middleware layer, application service layer and data semantics layer. Managing of computing resources can also be performed by implementing protocols, machine learning, deep learning and artificial intelligence techniques to enhance the scalability, reliability and stability in the operations.

The motivation of this special issue is to solicit the efforts and ongoing research work in the domain of computation resource management using machine learning, deep learning and artificial intelligence in IoT systems. This issue will be elaborating the key aspects of computation resource management, communication protocols and future applications of IoT systems which include IoT-Clouds, IoT based industrial and home environments and integration of IoT concept in upcoming technologies using machine learning, deep learning and artificial intelligence. This will provide the opportunity for research community across the globe to share their ideas on these newly emerging fields of IoT.

Specific topics include, but are not limited to, the following:

  • Efficient Energy Management of Computing Resources for
  1. IoT Architectures (Things-Centric, Data-Centric and Service-Centric Architectures)
  2. Mobile and Cloud-Based IoT Designs
  3. IoT based Embedded and Information Systems.
  4. IoT Enabling Technologies (Sensor Networks and Machine-Type Communication)
  5. IoT Services (Open Service Platform and Semantic Service Management)
  • Hybrid Energy Efficient Intelligent Models using Artificial Intelligence in IoT for Industry
  • Energy Efficient Meta-Heuristic Algorithms for IoT and Wearable Computing
  • Hybrid Energy Optimization Methods and Emerging Real World Applications of IoT in Industry
  • Innovative Deep Learning Architectures for Optimizing Time Series Computational Data in IoT
  • Energy Efficient Machine Learning and Data Analytics Techniques in IoT for Industry
  • Computational Resource Management using Neural Network Modelling for IoT Systems.
  • Nature-Inspired Smart Efficient Energy Hybrid Systems for IoT Context-Aware Systems
  • Energy Efficient Hybrid IoT Systems for Ambient Living

Submission Details:

General information for submitting papers to SUSCOM can be found at http://www.journals.elsevier.com/sustainable-computing/ (please note the “Guide for Authors” link). Submissions to this Special Issue (SI) should be made using Elsevier’s editorial system at the journal website (http://www.journals.elsevier.com/sustainable-computing/, under the “Submit Your Paper” link). Please make sure to select the “SI: Internet of Things” option for the type of the paper during the submission process. All submissions must be original and may not be under review by another publication. A submission based on one or more papers that appeared elsewhere has to comprise major value-added extensions over what appeared previously (at least 30% new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal version. All submitted papers will be peer reviewed using the normal standards of SUSCOM. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the SI.

Important dates

  • Manuscript due date: May 30, 2018
  • First decision notification: October 30, 2018
  • Tentative publication schedule: Mid-2019

Guest editors

Hong Lin
Professor, University of Houston Downtown, USA
linh@uhd.edu

Aminul Islam
Assistant Professor, University of Louisiana at Lafayette, USA
aminul@louisiana.edu

Roshan Joy Martis
Professor, Vivekananda College of Engineering & Technology, India
roshaniiitsmst@gmail.com

Steven Lawrence Fernandes (Managing Guest Editor)
Post-Doctoral Research, University of Alabama at Birmingham, USA
stevenlf@uab.edu

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