Special Issues
Table of Content

Computer Modeling for Future Communications and Networks

Submission Deadline: 15 March 2025 View: 228 Submit to Special Issue

Guest Editors

Prof. Wenbing Zhao, Cleveland State University, USA
Prof. Pan Wang, Nanjing University of Posts & Telecommunications, China


Summary

Future communications and networks would promise significant improvements in several key aspects of the global data communication infrastructure: (1) seamless coverage of the entire planet Earth; (2) super high reliability in communication and networking services; and (3) stronger security against cyberattacks. Future communications and networks would be powered by 6G networking technologies, and facilitated by software defined networking, blockchain technology, machine learning, and artificial intelligence.

 

The 6G networking technologies would provide seamless communication and networking coverage for the entire planet. This type of future networks is also referred to as space-air-ground integrated networks (SAGINs). The SAGIN would consist of three network segments, namely, space, aerial, and terrestrial. The space subnetwork offers wide coverage and can reach remote and sparsely populated regions, and is facilitated by geostationary earth orbiting satellites and low earth orbiting satellites. The aerial subnetwork can be set up to meet the increased demand of network traffic demand using communicating unmanned aerial vehicles, airships, and balloons. The terrestrial subnetwork is powered by existing wireless networking infrastructures such as cellular base stations and other wireless facilitates.

 

Software defined networking (SDN) uses software controllers to communicate with hardware infrastructure to direct network traffic by creating and operating a series of virtual overlay networks in conjunction with a physical underlay network. SDN not only reduces the cost of managing networks, but also minimizes human errors and opens the door for optimal automated decisions based on machine learning and artificial intelligence.

 

Blockchain technology offers a revolutionary decentralized scheme for reaching consensus and for enacting a barrier against authorized modification to the data maintained by the system. Decentralized computing is in fact a fundamental design principle in the development of the Internet, for example, Internet routing is a prime example of decentralized computing where a set of simple rules is followed by each router to derive the forwarding table used for forwarding Internet traffic. Blockchain technology may play an essential role in future communications and networks for boosting their reliability and security.

 

This special section welcomes original research and review articles on all aspects of computer modeling for future communications and networks. Topics of interest include, but not limited to, the following areas:

· Computer modeling for space-air-ground integrated networks

· Computer modeling for software defined networking

· Computer modeling for intelligent network traffic management

· Computer modeling for mitigating cyberattacks in future communications and networks

· Blockchain-facilitated future communications and networks

· Machine learning and artificial intelligence in future communications and networks

· Internet of things in future communications and networks

· Intelligent decision support in future communications and networks



Published Papers


  • Open Access

    ARTICLE

    Optimizing Connections: Applied Shortest Path Algorithms for MANETs

    Ibrahim Alameri, Jitka Komarkova, Tawfik Al-Hadhrami, Abdulsamad Ebrahim Yahya, Atef Gharbi
    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 787-807, 2024, DOI:10.32604/cmes.2024.052107
    (This article belongs to the Special Issue: Computer Modeling for Future Communications and Networks)
    Abstract This study is trying to address the critical need for efficient routing in Mobile Ad Hoc Networks (MANETs) from dynamic topologies that pose great challenges because of the mobility of nodes. The main objective was to delve into and refine the application of the Dijkstra's algorithm in this context, a method conventionally esteemed for its efficiency in static networks. Thus, this paper has carried out a comparative theoretical analysis with the Bellman-Ford algorithm, considering adaptation to the dynamic network conditions that are typical for MANETs. This paper has shown through detailed algorithmic analysis that Dijkstra’s… More >

  • Open Access

    ARTICLE

    In-Depth Study of Potential-Based Routing and New Exploration of Its Scheduling Integration

    Jihoon Sung, Yeunwoong Kyung
    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2891-2911, 2024, DOI:10.32604/cmes.2024.051772
    (This article belongs to the Special Issue: Computer Modeling for Future Communications and Networks)
    Abstract Industrial wireless mesh networks (WMNs) have been widely deployed in various industrial sectors, providing services such as manufacturing process monitoring, equipment control, and sensor data collection. A notable characteristic of industrial WMNs is their distinct traffic pattern, where the majority of traffic flows originate from mesh nodes and are directed towards mesh gateways. In this context, this paper adopts and revisits a routing algorithm known as ALFA (autonomous load-balancing field-based anycast routing), tailored specifically for anycast (one-to-one-of-many) networking in WMNs, where traffic flows can be served through any one of multiple gateways. In essence, the… More >

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