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Application of Internet of Things: Distributed Computing and Mobile Edge Cloud Computing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (25 May 2023) | Viewed by 2269

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal 741249, India
Interests: mobile computing; cloud computing; Internet of Things

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Guest Editor
Department of Computer Science, Mahishadal Raj College, Mahishadal, West Bengal 721628, India
Interests: mobile computing; cloud computing; Internet of Things

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Guest Editor
College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, USA
Interests: spatial informatics; cloud computing; Internet of Things

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) has become the key component for designing smart applications. As the wireless technology is growing rapidly, people are seeking smart solutions for the daily life, such as smart home, smart city, smart education, smart healthcare, smart shopping, etc. IoT refers to a created computing environment, where uniquely identifiable embedded devices are connected within an existing Internet infrastructure. In IoT, several sensors and actuators are used for collecting the status of various types of objects including environmental parameters, living, and non-living objects, and the collected data are analysed for controlling and accessing the objects remotely. In the traditional IoT paradigm, the collected data were stored and analysed inside the cloud. However, the use of remote cloud increases the delay, and raises other issues such requirement of high bandwidth, seamless network connectivity, security, network traffic, high energy consumption, etc. To deal with these issues, edge and fog computing come into the picture. The use of fog computing allows to use the intermediate devices such as switch, router, etc., between the end node and cloud, for partial data processing before forwarding to the cloud, and reduces the delay. Mobile edge computing brings the resources at the network edge and reduces the delay. This Special Issue focuses on the original, unpublished, and high-quality research papers on applications of IoT in distributed computing and mobile edge computing.

The topics of interest include but are not limited to:

  • energy-efficient Internet of Health Things;
  • resource management for IoT applications;
  • eco-friendly smart transport design using IoT;
  • eco-friendly smart traffic management using IoT;
  • eco-friendly smart city using IoT;
  • green home automation using IoT;
  • quality of service-aware offloading strategies for IoT applications.

Prof. Dr. Debashis De
Dr. Anwesha Mukherjee
Dr. Shreya Ghosh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

18 pages, 1283 KiB  
Article
Genetic Algorithm-Based Online-Partitioning BranchyNet for Accelerating Edge Inference
by Jun Na, Handuo Zhang, Jiaxin Lian and Bin Zhang
Sensors 2023, 23(3), 1500; https://doi.org/10.3390/s23031500 - 29 Jan 2023
Viewed by 1487
Abstract
In order to effectively apply BranchyNet, a DNN with multiple early-exit branches, in edge intelligent applications, one way is to divide and distribute the inference task of a BranchyNet into a group of robots, drones, vehicles, and other intelligent edge devices. Unlike most [...] Read more.
In order to effectively apply BranchyNet, a DNN with multiple early-exit branches, in edge intelligent applications, one way is to divide and distribute the inference task of a BranchyNet into a group of robots, drones, vehicles, and other intelligent edge devices. Unlike most existing works trying to select a particular branch to partition and deploy, this paper proposes a genetic algorithm (GA)-based online partitioning approach that splits the whole BranchyNet with all its branches. For this purpose, it establishes a new calculation approach based on the weighted average for estimating total execution time of a given BranchyNet and a two-layer chromosome GA by distinguishing partitioning and deployment during the evolution in GA. The experiment results show that the proposed algorithm can not only result in shorter execution time and lower device-average energy cost but also needs less time to obtain an optimal deployment plan. Such short running time enables the proposed algorithm to generate an optimal deployment plan online, which dynamically meets the actual requirements in deploying an intelligent application in the edge. Full article
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