Future Networks: New Advances and Challenges, Volume 2

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 10447

Special Issue Editors


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Guest Editor
School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Interests: connected cars; vehicular ad hoc networks; the Internet of Things (machine-to-machine/device-to-device); Wi-Fi networks (including Wi-Fi Direct); wireless mesh networks; wireless sensor networks; future Internet
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical Engineering, COMSATS University Islamabad, Wah Cantt 47040, Pakistan
Interests: connected cars; ad hoc networks; internet of things; wireless sensor networks; video streaming; information-centric networks; named data networks; future internet architectures
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea
Interests: information-centric networking; internet of underwater things; wireless sensor networks; named data networks; future Internet architectures; vehicular ad-hoc networks

Special Issue Information

Dear Colleagues,

Recent developments in networking and communication technologies have extended their applications in our daily lives. Applications include safety, security, long-distance information exchange, machine-to-machine communication, sensor networks, vehicular ad-hoc networks, the Internet and beyond, led by interdisciplinary research from both academic and IT industry researchers. Evolving protocols and standards ensure that these technologies achieve satisfactory quality of service (QoS) ratings. Artificial intelligence has also recently been introduced in networks. Autonomous decision making in the future world of connected devices opens the door for novel stand-alone solutions. Future networks empowered with machine learning and deep learning can offer practical tools for many engineering applications, such as sensor data from driverless cars, autonomous driving wireless networks or entertainment streaming recommendations, generating enormous quantities of data for real-time collection and processing. These requirements demand the development of advanced computation applications and algorithms for future networking technologies to perform the integration of artificial intelligence (AI) and deep learning techniques with wireless communication networks.

We solicit papers that define the advancement of future networks, as well as their services and challenges. We are seeking the latest original contributions that have not been published and are not currently under process in any other journal. Potential topics of interest include, but are not limited to, the following:

  • Ubiquitous networks.
  • Wireless sensor networks (WSNs).
  • Energy efficiency and power control.
  • MAC, routing and transport protocols.
  • Cognitive wireless networks.
  • Network design, control, and performance.
  • Congestion control and traffic management.
  • Cell-free satellite-UAV networks for 6G and beyond.
  • Quantum communication.
  • Data-centric communications and protocols.
  • Future Internet architectures (ICN/CCN/NDN).
  • Software-defined networks (SDNs)/network function virtualization (NFV).
  • Underwater wireless sensor networks (UWSNs).
  • Vehicle-to-vehicle communications (V2V communications).
  • Wireless body area networks (WBANs).
  • Internet of things (IoT).
  • Machine-to-machine communications (M2M).
  • Peer-to-peer networks.

Prof. Dr. Dongkyun Kim
Dr. Muhammad Azfar Yaqub
Dr. Muhammad Toaha Raza Khan
Guest Editors

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Keywords

  • intelligent communication technologies
  • future networking architectures
  • self-healing networks
  • advanced communication networking protocols

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Published Papers (3 papers)

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Research

10 pages, 436 KiB  
Communication
Junction Selection Based on Optimal-Weighted Multiple Attributes for VANETs
by Yang Ru, Ayesha Siddiqa, Mahnoor Ajmal, Bomi Jeong and Dongkyun Kim
Electronics 2023, 12(4), 889; https://doi.org/10.3390/electronics12040889 - 9 Feb 2023
Cited by 3 | Viewed by 1248
Abstract
Vehicle ad hoc networks (VANETs) is an emerging ad hoc network technology with a promising future but significant limitations, particularly in communication networks. An effective routing system can significantly enhance the performance of VANETs. However, creating an effective routing protocol in an urban [...] Read more.
Vehicle ad hoc networks (VANETs) is an emerging ad hoc network technology with a promising future but significant limitations, particularly in communication networks. An effective routing system can significantly enhance the performance of VANETs. However, creating an effective routing protocol in an urban context to transport the data packet to the destination is still challenging due to complex road conditions, sporadic connectivity among vehicles, frequent disconnections, and quick changes in network topology. To enhance the accuracy of routing decisions in an urban setting, we propose a novel “multiple attributes decision-making junction selection routing (MADMJSR)” routing protocol based on vehicle position for VANETs. Formerly, most of the research was focused on static weight-based attribute selection for communication rather than optimal values, which led to a drop in junction decision-making accuracy. Our proposed scheme considers the multiple attribute selection and the optimal weight value assigned to each attribute, which significantly improves the routing decision accuracy. The results show a high packet delivery ratio (PDR) gain within minimum latency and less network load. Furthermore, a thorough discussion of the functioning of our proposed protocol is presented along with a detailed performance evaluation in comparison to other protocols. Full article
(This article belongs to the Special Issue Future Networks: New Advances and Challenges, Volume 2)
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24 pages, 8794 KiB  
Article
A Tree Structure Protocol for Hierarchical Deterministic Latency Name Resolution System
by Wei Xie, Jiali You and Jinlin Wang
Electronics 2022, 11(15), 2425; https://doi.org/10.3390/electronics11152425 - 4 Aug 2022
Cited by 3 | Viewed by 1970
Abstract
Information-centric networking (ICN) shifts the communication model from a host-centric paradigm to an information-centric paradigm, and is promising for solving several problems on today’s Internet. For more efficient information dissemination, most ICN architectures are based on the Identifier/Locator split design. Therefore, how to [...] Read more.
Information-centric networking (ICN) shifts the communication model from a host-centric paradigm to an information-centric paradigm, and is promising for solving several problems on today’s Internet. For more efficient information dissemination, most ICN architectures are based on the Identifier/Locator split design. Therefore, how to map an identifier to a routable locator is an important problem for efficient data transmission. Nowadays, many new network services such as industrial control and telemedicine are highly latency-sensitive and require deterministic service response latency. To meet such requirements, name resolution with a deterministic latency guarantee is needed, but less discussed. This paper proposes a tree-based resolution system structure for deterministic latency resolution, which can support the Local Name Mapping Resolution System (LNMRS) in the new ICN network architecture—SEANet—to provide deterministic name resolution service in latency-sensitive scenarios like industrial control and telemedicine. The correctness of such a structure is the key to achieving deterministic latency resolution. To ensure the structure’s correctness in a distributed manner, a tree structure protocol based on delay measurement is also proposed for structure generation and maintenance. Simulation results show that the protocol is effective in generating a correct structure that has good performance in terms of service capability for deterministic name resolution and system scalability. Full article
(This article belongs to the Special Issue Future Networks: New Advances and Challenges, Volume 2)
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36 pages, 1892 KiB  
Article
Vehicular Ad Hoc Networks Routing Strategies for Intelligent Transportation System
by Ishtiaq Wahid, Sadaf Tanvir, Masood Ahmad, Fasee Ullah, Ahmed S. AlGhamdi, Murad Khan and Sultan S. Alshamrani
Electronics 2022, 11(15), 2298; https://doi.org/10.3390/electronics11152298 - 23 Jul 2022
Cited by 13 | Viewed by 6348
Abstract
The upcoming models of vehicles will be able to communicate with each other and will thus be able to share and/or transfer information. A vehicular ad hoc network (VANET) is an application of this vehicular communication that leads to an intelligent transportation system [...] Read more.
The upcoming models of vehicles will be able to communicate with each other and will thus be able to share and/or transfer information. A vehicular ad hoc network (VANET) is an application of this vehicular communication that leads to an intelligent transportation system (ITS). Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) are the two distinct types of vehicular ad hoc networks (VANET). V2V and V2I technologies are together known as V2X and are recently being tested. Continuous research to enhance routing considers different characteristics and exciting aspects of VANETs. The proposed schemes are classified based on the operational scenario. A survey of proposed routing schemes in the last eight years is presented to determine the design considerations and the approach used in every proposed system, along with their shortcomings. This survey will assist new scholars in this field to analyze existing state-of-the-art systems. The table at the end of each routing scheme shows the proposed routing scheme’s simulation, routing, and scenario parameters. This paper also reviews VANET technology, its role in the intelligent transportation system, recent development in the field, and the timeline for implementation of the system. Full article
(This article belongs to the Special Issue Future Networks: New Advances and Challenges, Volume 2)
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