Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.6
Journals
Electronics
Special Issues
Privacy - Aware IoT Task Offloading in Green Edge Computing
share announcement

Privacy - Aware IoT Task Offloading in Green Edge Computing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 5203

Special Issue Editors

Dr. A. S. M. Sanwar Hosen

E-Mail Website
Guest Editor
Division of Computer Science and Engineering, Jeonbuk National University, Jeonju, Republic of Korea
Interests: wireless sensor networks; Internet of Things; cloud and fog computing; blockchain technology; network security; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Mufti Mahmud

E-Mail Website
Guest Editor
School of Science and Technology, Nottingham Trent University, Clifton, Nottingham NG11 8NS, UK
Interests: brain informatics; data analytics; brain–machine interfacing; Internet of healthcare things
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. M. Shamim Kaiser

E-Mail Website
Guest Editor
Institute of Information Technology, Jahangirnagar University, Dhaka 1342, Bangladesh
Interests: machine learning; multihop network; sensor network; healthcare
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Big data with diverse sources and structures have been being created since the inception of the Internet of Things (IoT). Recently, IoT has become widely used in smart applications. IoT data are vital to running networks, exploring and extracting features and knowledge, accumulating rules and processing. Fortunately, edge computing, which is located close to where things and people produce or consume information and imitates cloud computing services, is bringing computation to IoT users. Edge computing facilitates platform, infrastructure, and software as services to users. Due to the distinct benefits and characteristics of edge computing, such as heterogeneous architecture, big data processing, parallel computation, location awareness and mobility support, edge computing is facing several challenges: modelling a scalable framework, controlling and managing networks, efficient data communication, effective data restoration, and providing security and privacy. It is essential to deal with these issues to enhance the quality of service in the edge computing paradigm.

This Special Issue invites high-quality submissions containing innovative and original research regarding the challenges of the IoT and edge computing convergence.

The topics of possible contributions include, but are not limited to:

  1. Modelling and Integration
  2. Data Accumulation and Restoration
  3. Network Control and Management
  4. Robust Technique and Parameter Optimization for Electronic Sensors
  5. IoT Node Trust, Data Security, and Data Privacy
  6. Computational Intelligence in Task Offloading
  7. AI-based Optimization in Task offloading
  8. Resource Allocation and Scheduling in Green Edge Computing
  9. Security, Privacy, Trust and Accessibility in Edge Computing
  10. Performance Evaluation for Edge Computing
  11. Novel Applications in Edge Computing-based IoT

Dr. A. S. M. Sanwar Hosen
Dr. Mufti Mahmud
Prof. Dr. M. Shamim Kaiser
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. Electronics 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 2400 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.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 4396 KiB  
Article
Intellectual Property Theft Protection in IoT Based Precision Agriculture Using SDN
by Md. Selim Hossain, Md. Habibur Rahman, Md. Sazzadur Rahman, A. S. M. Sanwar Hosen, Changho Seo and Gi Hwan Cho
Electronics 2021, 10(16), 1987; https://doi.org/10.3390/electronics10161987 - 18 Aug 2021
Cited by 12 | Viewed by 3931
Abstract
In this work, we examine the privacy and safety issues of Internet of Things (IoT)-based Precision Agriculture (PA), which could lead to the problem that industry is currently experiencing as a result of Intellectual Property Theft (IPT). Increasing IoT-based information flow in PA [...] Read more.
In this work, we examine the privacy and safety issues of Internet of Things (IoT)-based Precision Agriculture (PA), which could lead to the problem that industry is currently experiencing as a result of Intellectual Property Theft (IPT). Increasing IoT-based information flow in PA will make a system less secure if a proper security mechanism is not ensured. Shortly, IoT will transform everyday lives with its applications. Intellectual Property (IP) is another important concept of an intelligent farming system. If the IP of a wise farming system leaks, it damages all intellectual ideas like cultivation patterns, plant variety rights, and IoT generated information of IoT-based PA. Thus, we proposed an IoT enabled SDN gateway regulatory system that ensures control of a foreign device without having access to sensitive farm information. Most of the farm uses its devices without the use of its integrated management and memory unit. An SDN-based structure to solve IP theft in precision farming has been proposed. In our proposed concept, a control system integrates with the cloud server, which is called the control hub. This hub will carry out the overall PA monitoring system. By hiring the farm devices in the agricultural system, these devices must be tailored according to our systems. Therefore, our proposed PA is a management system for all controllable inputs. The overall goal is to increase the probability of profit and reduce the likelihood of IPT. It does not only give more information but also improves information securely by enhancing the overall performance of PA. Our proposed PA architecture has been measured based on the throughput, round trip time, jitter, packet error rate, and the cumulative distribution function. Our achieved results reduced around (1.66–6.46)% compared to the previous research. In the future, blockchain will be integrated with this proposed architecture for further implementation. Full article
(This article belongs to the Special Issue Privacy - Aware IoT Task Offloading in Green Edge Computing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop