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Electronics
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Mobile Ad Hoc Networks: Recent Advances and Future Trends
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Mobile Ad Hoc Networks: Recent Advances and Future Trends

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

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 5983

Special Issue Editor

Prof. Dr. KyungHi Chang

E-Mail Website
Guest Editor
Department of Electronic Engineering, Inha University, Incheon 22212, Republic of Korea
Interests: radio transmission technology in 3GPP 5G-NR systems and 6G; public safety and mobile ad hoc networks (especially for UAVs); cellular-V2X technology; applications of AI technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mobile ad hoc networks facilitate the key technologies of the next-generation Internet of things and cyber-physical systems. They show potential for disaster management services, commercial environments, public environments, coverage extension due to crowdy areas, game theory, military battlefields, remote hilly areas, and deep-sea regions. These days ad hoc network concepts have expanded to FANET, VANET, SANET, WSN, UAC, UAVs, etc. With major design challenges, such as power management and the lack of fixed infrastructure, new research trends are focusing on multi-hop nature, device heterogeneity, network scalability, security, topology management, location management, device discovery, and interoperability with new emerging ad hoc networks.

For this Special Issue, we invite submissions from all areas relating to the applications and challenges of mobile ad hoc networking, recent advances, and future trends. Contributions must relate to at least one of the following topics of interest:

  • System design for mobile ad hoc networks.
  • Applications of mobile ad hoc networks:
    • Internet of drones;
    • Internet of mobile things;
    • Mobile social networking;
    • Intelligent disaster management;
    • Smart city and smart mobility;
    • Autonomous intelligent systems.
  • Challenges of mobile ad hoc networks:
    • Interoperability with underwater communications;
    • Interoperability with unmanned aerial vehicles (UAVs);
    • MANET with multi-hop wireless;
    • Integration among MANET, FANET, VANET, SANET, WSN, etc.;
    • Coexistence with cellular-V2X (C-V2X), 5G.

Prof. Dr. KyungHi Chang
Guest Editor

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.

Keywords

  • MANET
  • FANET
  • VANET
  • SANET
  • safety and disaster management
  • machine learning
  • Internet of drones, smart mobility
  • multi-hop wireless

Published Papers (2 papers)

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Research

19 pages, 3192 KiB  
Article
Intelligent Cognitive Radio Ad-Hoc Network: Planning, Learning and Dynamic Configuration
by Kwang-Eog Lee, Joon Goo Park and Sang-Jo Yoo
Electronics 2021, 10(3), 254; https://doi.org/10.3390/electronics10030254 - 22 Jan 2021
Cited by 11 | Viewed by 2702
Abstract
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available channels in a wireless spectrum and change transmission parameters to improve the radio operating behavior. A CR ad-hoc network (CRAHN) should be able to coexist with primary user (PU) systems [...] Read more.
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available channels in a wireless spectrum and change transmission parameters to improve the radio operating behavior. A CR ad-hoc network (CRAHN) should be able to coexist with primary user (PU) systems and other CR secondary systems without causing harmful interference to licensed PUs as well as dynamically configure autonomous and decentralized networks. Therefore, an intelligent system structure is required for efficient spectrum use. In this paper, we present a learning-based distributed autonomous CRAHN network system model for network planning, learning, and dynamic configuration. Based on the system model, we propose machine learning-based optimization algorithms for spectrum sensing, cluster-based ad-hoc network configuration, and context-aware signal classification. Using the sensing engine and the cognitive engine, the surrounding spectrum usage and the neighbor network operation status can be analyzed. The proposed policy engine can create network operation policies for the dynamically changing surrounding wireless environment, detect policy conflicts, and infer the optimal policy for the current situation. The decision engine finally determines and configures the optimal CRAHN configuration parameters through cooperation with a learning engine, in which we implement the proposed machine-learning algorithms. The simulation results show that the proposed machine-learning CRAHN algorithms can construct CR cluster networks that have a long network lifetime and high spectrum utility. Additionally, with high signal context recognition performance, we can ensure coexistence with neighboring systems. Full article
(This article belongs to the Special Issue Mobile Ad Hoc Networks: Recent Advances and Future Trends)
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13 pages, 2916 KiB  
Article
QoS Priority-Based Mobile Personal Cell Deployment with Load Balancing for Interference Reduction between Users on Coexisting Public Safety and Railway LTE Networks
by Ishtiaq Ahmad, JinYoung Jang and KyungHi Chang
Electronics 2020, 9(12), 2136; https://doi.org/10.3390/electronics9122136 - 13 Dec 2020
Cited by 6 | Viewed by 1815
Abstract
The Republic of Korea has played a leading role in the development of next-generation long-term evolution (LTE) public safety networks. The LTE-based public safety (PS-LTE) network, the LTE-based high-speed railway (LTE-R) network, and the LTE-based maritime (LTE-M) network use the same 700 MHz [...] Read more.
The Republic of Korea has played a leading role in the development of next-generation long-term evolution (LTE) public safety networks. The LTE-based public safety (PS-LTE) network, the LTE-based high-speed railway (LTE-R) network, and the LTE-based maritime (LTE-M) network use the same 700 MHz frequency band. That results in severe co-channel interference (CCI), so there is a dire need for practical research into resolving the CCI issue. Moreover, unplanned deployment of the mobile personal cell (mPC) generates serious user-association issues owing to its movement, which leads to severe co-channel interference in coexisting PS-LTE and LTE-R networks. Indeed, it is important to satisfy users’ quality of service (QoS) requirements during resource allocation in specific public safety situations. Therefore, we address the CCI issues through wise deployment of the mPC for user association and load balancing in overlapping PS-LTE and LTE-R networks. In this paper, we propose a QoS mPC deployment (QoS_mPCD) scheme for priority-based load balancing and interference reduction in coexisting PS-LTE and LTE-R networks. The proposed scheme efficiently manages the user-association and load-balancing problems, and allocates the best resources to high-priority users based on defined service priority levels. Moreover, we employ an enhanced inter-cell interference coordination (eICIC) scheme that further reduces the interference with the users offloaded onto an mPC. System-level simulations are performed to evaluate the proposed QoS_mPCD scheme by considering important performance matrices such as user equipment (UE) throughput, UE received interference, and UE outage probabilities. Full article
(This article belongs to the Special Issue Mobile Ad Hoc Networks: Recent Advances and Future Trends)
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