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Applied System Innovations Using Recent Communications and Networking Advances
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Applied System Innovations Using Recent Communications and Networking Advances

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 26278

Special Issue Editors

Prof. Dr. Christos Douligeris

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Guest Editor
Department of Informatics, University of Piraeus, 18534 Piraeus, Greece
Interests: computer networking; security; applications in the medical and health sectors
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Luca Foschini

E-Mail Website
Guest Editor
Department of Computer Science Engineering, University of Bologna, ‎40126 Bologna, Italy
Interests: mobile computing environments; integrated management of networks, systems, and services; next generation networks
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gang Li

E-Mail Website
Guest Editor
Department of Information Technology, Deakin University, Melbourne, Australia
Interests: data mining and machine learning; network and data security; behaviour informatics
Dr. Eirini Eleni Tsiropoulou

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Interests: network modeling and optimization; IoT; cyber–physical systems; smart grid systems; network economics; wireless networks; social networks; cybersecurity; resource management; reinforcement learning; human behavior modeling; concentrated solar power systems
Special Issues, Collections and Topics in MDPI journals
Dr. Theofanis P. Raptis

E-Mail Website
Guest Editor
Institute of Informatics and Telematics, and National Research Council of Italy, Pisa, Italy
Interests: industry 4.0; IoT; wireless power transfer
Special Issues, Collections and Topics in MDPI journals
Dimitrios N. Kallergis

E-Mail Website
Guest Editor Assistant
Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece
Interests: cloud/fog computing; cybersecurity; IoT

Special Issue Information

Dear Colleagues,

Applied System Innovation (ISSN 2571-5577) is a peer-reviewed, open access journal devoted to publishing research papers in the fields of integrated engineering and technology. This journal has been indexed by Scopus and the Emerging Sources Citation Index (ESCI) since 2021.

A Special Issue in this journal titled “Applied System Innovations using Recent Communications and Networking Advances” is expected to select excellent papers presented in the IEEE International Symposium on Computers and Communications (IEEE ISCC 2021) as well as other high-quality papers on the topics of innovations induced by the recent advanced developments in networking and communication fields. Papers presented in IEEE ISCC 2021 or other major conferences should have at least 30% additional/different material than the original conference paper. The additions/modifications should be mentioned in the submission cover letter.

The first IEEE Symposium on Computers and Communications (ISCC) was held in 1995 in response to the growing interaction between the fields of computers and communications. ISCC takes place annually, usually in the Mediterranean region, in locations such as Egypt, Cyprus, Tunisia, Portugal, Morocco, Italy, Brazil, Spain and France. In 2021, the Symposium was held in Athens, Greece, 5–8 September 2021.

The ISCC sessions included presentations on new research results and tutorials. IEEE ISCC 2021, in its 26th edition, was held in a hybrid mode and provided an insight into the unique world stemming from the interaction between the fields of computers and communications. ISCC 2021 provided an international technical forum for experts from industry and academia to exchange ideas and present results of ongoing research in most state-of-the-art areas of computers and communications.

Potential topics include but are not limited to:

  • Mobile Cloud and Mobile Cloud Networking
  • Cloud Computing
  • Internet of Things and Cyber Physical Systems
  • Software-Defined Networks and Network Function Virtualization
  • Artificial Intelligent Systems Applications in Computers and Communications
  • Machine Learning
  • Network Stability, Control and Optimization
  • Advances in Internet Protocols
  • Wireless, Cellular, and Mobile Communications
  • Inter- and Intra- Vehicle Communication and Protocols
  • Smart City and Crowdsourcing Applications
  • Data Privacy, and Attacks and Defences

Prof. Dr. Christos Douligeris
Prof. Dr. Luca Foschini
Prof. Dr. Gang Li
Prof. Dr. Eirini Eleni Tsiropoulou
Dr. Theofanis P. Raptis
Dr. Dimitrios N. Kallergis
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 of May 31, 2022. All papers will be 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. Applied System Innovation is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this Special Issue has a 50% discount and is 700 CHF (Swiss Francs) for each paper. Excellent papers recommended by the guest editors may get free publication for this Special Issue.

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.

Keywords

  • next generation networks
  • security and privacy
  • artificial intelligence and machine learning
  • networks management and optimization

Published Papers (5 papers)

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Research

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13 pages, 5516 KiB  
Article
RETRACTED: Express Data Processing on FPGA: Network Interface Cards for Streamlined Software Inspection for Packet Processing
by Sunkari Pradeep, Yogesh Kumar Sharma, Chaman Verma, Gutha Sreeram and Panugati Hanumantha Rao
Appl. Syst. Innov. 2023, 6(1), 9; https://doi.org/10.3390/asi6010009 - 09 Jan 2023
Cited by 1 | Viewed by 2146 | Retraction
Abstract
Modern computers’ network interface cards (NICs) are undergoing changes in order to handle greater data rates and assist with scaling problems caused by general-purpose CPU technology. The inclusion of programmable accelerators to the NIC’s data channel is one of the ongoing improvements that [...] Read more.
Modern computers’ network interface cards (NICs) are undergoing changes in order to handle greater data rates and assist with scaling problems caused by general-purpose CPU technology. The inclusion of programmable accelerators to the NIC’s data channel is one of the ongoing improvements that is particularly intriguing since it gives the accelerator the chance to take on a portion of the CPU’s network packet processing duties. Accelerators are frequently developed using platforms like field-programmable gate arrays because packet processing operations have severe latency requirements (FPGAs). When implementing packet processing activities, FPGAs’ gain for through put is the number of data packets being successfully sent per second and latency is the actual time those packets take. However, due to their restricted resources, programming may need to be shared throughout a variety of applications. We provide hXDP, a software solution for FPGAs that targets the Linux eXpress Data Path and performs packet processing functions outlined with the eBPF technology. While maintaining performance on par with top-tier CPUs, hXDP only uses a tiny portion from the field programmable gate arrays, which are semiconductor devices that are based around a matrix of configuration logic blocks (CLB) connected over programmable interconnects. However, we demonstrate that when aiming towards a purpose-built FPGA architecture, many extended Berkeley packet filters (eBPF) allow programmers to use Berkeley packet filter byte code that makes use of certain kernel resources and instruction set architecture, to collocate and even eliminate, with considerably productivity and effectiveness. On an FPGA NIC, we implement hXDP and test its effectiveness using authentic eBPF programmes from the real world. Our version consumes 15% of the FPGA resources and operates at 156.25 MHz. This can constantly change and lead to the act of identification, inspection, extraction, and manipulation so that a network may make more intelligent management decisions. Full article
(This article belongs to the Special Issue Applied System Innovations Using Recent Communications and Networking Advances)
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26 pages, 5735 KiB  
Article
Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation
by S. Pradeep, Yogesh Kumar Sharma, Chaman Verma, Surjeet Dalal and Cvpr Prasad
Appl. Syst. Innov. 2022, 5(5), 101; https://doi.org/10.3390/asi5050101 - 13 Oct 2022
Cited by 6 | Viewed by 1862
Abstract
Wireless sensor networks (WSNs) are a comparatively new revolutionary technology that has the potential to revolutionize how we live together with the present system. To enhance data archiving, WSNs are frequently used in scientific studies. Many applications have proved the value of wired [...] Read more.
Wireless sensor networks (WSNs) are a comparatively new revolutionary technology that has the potential to revolutionize how we live together with the present system. To enhance data archiving, WSNs are frequently used in scientific studies. Many applications have proved the value of wired sensors; however, they are prone to wire cutting or damage. While preventing wire tangles and damage, wireless sensor networks provide autonomous monitoring. The WS network suffers from a number of fundamental restrictions, including insufficient processing power, storage space, available bandwidth, and information exchange. Consequently, energy-efficient strategies are necessary for maximizing the performance and lifespan of WSNs. As a result, the special cluster head relay node and energy balancing techniques will be applied to deal with WSN energy consumptions. This extends the life of the network. In wireless sensor networks, clustering is a smart approach to reduce energy consumption. Energy scarcity and consumption are serious issues that must be addressed with effective and dependable solutions. The proposed MGSA considers the distance between each node and its corresponding CHs, as well as the residual energy and delay, as important factors in the relay node selection. The proposed approach outperforms the current methods, such as low-energy adaptive clustering hierarchy, LEACH (in terms of data delivery rate), energy efficiency, and network longevity. The next level, which will boost the efficiency of wireless sensor networks, with two fitness functions, is proposed. The cluster head (CH) is in charge of collecting and transmitting data from all other cluster nodes. The flow of the consistency of the cluster head selection process will beat the improved data delivery rate, energy efficiency, recommended fuzzy clustering performance experiments, and assessments. As a result, energy-efficient operations are necessary to maximize the WSN performance and lifespan. Full article
(This article belongs to the Special Issue Applied System Innovations Using Recent Communications and Networking Advances)
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16 pages, 3518 KiB  
Article
A Comprehensive Survey of Digital Twins and Federated Learning for Industrial Internet of Things (IIoT), Internet of Vehicles (IoV) and Internet of Drones (IoD)
by Sonain Jamil, MuhibUr Rahman and Fawad
Appl. Syst. Innov. 2022, 5(3), 56; https://doi.org/10.3390/asi5030056 - 13 Jun 2022
Cited by 27 | Viewed by 5621
Abstract
As a result of the advancement in the fourth industrial revolution and communication technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet of Things (IIoT), the Internet of Vehicles (IoV), and the Internet of Drones (IoD) is [...] Read more.
As a result of the advancement in the fourth industrial revolution and communication technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet of Things (IIoT), the Internet of Vehicles (IoV), and the Internet of Drones (IoD) is increasing. However, the deployment of DT and FL for IoV is challenging. In this survey, we focus on DT and FL for IIoT, IoV, and IoD. Initially, we analyzed the existing surveys. In this paper, we present the applications of DT and FL in IIoT, IoV, and IoD. We also present the open research issues and future directions. Full article
(This article belongs to the Special Issue Applied System Innovations Using Recent Communications and Networking Advances)
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12 pages, 3299 KiB  
Article
On the Use of LoRaWAN for Mobile Internet of Things: The Impact of Mobility
by Mohammad Al mojamed
Appl. Syst. Innov. 2022, 5(1), 5; https://doi.org/10.3390/asi5010005 - 24 Dec 2021
Cited by 13 | Viewed by 3466
Abstract
A long-range wide-area network (LoRaWAN) targets both mobile and static Internet of Things (IoT) applications; it is suited to IoT applications, which require a large coverage area while consuming less power at a low data rate; it provides a solution for transferring data [...] Read more.
A long-range wide-area network (LoRaWAN) targets both mobile and static Internet of Things (IoT) applications; it is suited to IoT applications, which require a large coverage area while consuming less power at a low data rate; it provides a solution for transferring data between IoT devices with a minimum cost in terms of power, at the expense of higher latency. LoRaWAN was designed for static low-power long-range networks. However, several IoT solution applications involve the use of mobility. Therefore, this study investigates the usage of LoRaWAN in the field of mobile Internet of Things applications such as bike rentals, fleet monitoring, and wildlife and animal tracking applications. Using the OMNeT++ simulator, two different well-known mobility models are used to investigate the influence of mobility on the performance of mobile LoRaWAN. The results show that intense LoRaWAN networks can operate under a high velocity and varying traffic load. It can be observed that the random waypoint model combination yields a better performance, but at the cost of higher collisions and energy consumption. As a consequence, the results suggest the reconsideration of mobile IoT solutions over LoRaWAN. Full article
(This article belongs to the Special Issue Applied System Innovations Using Recent Communications and Networking Advances)
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Review

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12 pages, 2316 KiB  
Review
Digital Twins in the Automotive Industry: The Road toward Physical-Digital Convergence
by Dimitrios Piromalis and Antreas Kantaros
Appl. Syst. Innov. 2022, 5(4), 65; https://doi.org/10.3390/asi5040065 - 07 Jul 2022
Cited by 50 | Viewed by 12250
Abstract
A newly introduced term in the field of simulating an artificial or physical system is that of the “Digital Twin” concept method. It employs a digital representation and modeling method, capable of expanding and improving the life cycle of complex items, systems, and [...] Read more.
A newly introduced term in the field of simulating an artificial or physical system is that of the “Digital Twin” concept method. It employs a digital representation and modeling method, capable of expanding and improving the life cycle of complex items, systems, and processes. Nowadays, digital twin technology has become a key research field worldwide. In this context, it is applied and utilized in various fields. One such field is the automotive industry, a technological field that has great implications in users’ everyday life. Digital twin technology not only has great contributions from the initial stages of design until the final construction stages of vehicles, but also during its use, drawing useful information from its daily functions and making the driving experience more enjoyable, comfortable, and safe. It is worth noting that the vehicles that can greatly benefit from the use of digital twins are electric vehicles, which has tended to acquire greater shares in the last decade. Full article
(This article belongs to the Special Issue Applied System Innovations Using Recent Communications and Networking Advances)
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