Resilient enhancements of routing protocols in MANET

IF 3.3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Maros Baumgartner, Jan Papaj, Natalia Kurkina, Lubomir Dobos, Anton Cizmar
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引用次数: 0

Abstract

Resilient of routing processes is one of the biggest challenges for data transmission in mobile networks without infrastructure. Communication under current routing protocols is through a communication path that, although the shortest, may not perform satisfactorily in terms of resilient. Routing and communication within such a path may take place using nodes that are malicious or inappropriate in the communication process due to malicious or poor technical state. This paper presents a new algorithm for various uses of mobile ad hoc networks not only in edge networks with infrastructure but also with the possibility of being used in the cloud solutions. We have modified decentralized blockchain technology and artificial intelligence using deep learning methods that have been implemented in routing processes. The objective of this algorithm was to select the most resilient communication path from the source to the destination node. Such a communication path selection consisted of selecting the nodes that were most suitable in terms of resilience, where the selection nodes was provided through a network and technical parameters. The key quality of service metrics, throughput, total delay, number of delivered signaling and data packets and the ratio between them were used to evaluate the proposed resilient routing algorithm. Modified resilient routing protocols achieved improvement in all the analyzed parameters compared to the original routing protocols. The improvement in these parameters led to an increase in the resilience of the routing process based on the actual data obtained from each node in the network and previous communications.

Abstract Image

城域网路由协议的弹性增强
在没有基础设施的移动网络中,路由过程的弹性是数据传输面临的最大挑战之一。在当前路由协议下,通信是通过通信路径进行的,虽然该路径最短,但在弹性方面可能无法令人满意。在这样的路径上进行路由和通信时,可能会使用恶意节点或因恶意或技术状态不佳而在通信过程中不适当的节点。本文提出了一种新算法,适用于移动特设网络的各种用途,不仅适用于带有基础设施的边缘网络,还可能用于云解决方案。我们对去中心化的区块链技术和人工智能进行了修改,使用深度学习方法在路由过程中实施。该算法的目标是选择从源节点到目的节点最具弹性的通信路径。这种通信路径选择包括选择在弹性方面最合适的节点,而选择节点是通过网络和技术参数提供的。关键的服务质量指标、吞吐量、总延迟、交付的信令和数据包数量以及它们之间的比率被用来评估所提出的弹性路由算法。与原始路由协议相比,修改后的弹性路由协议在所有分析参数上都有所改进。这些参数的改善提高了路由过程的弹性,其依据是从网络中每个节点获得的实际数据和以前的通信。
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来源期刊
Peer-To-Peer Networking and Applications
Peer-To-Peer Networking and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
8.00
自引率
7.10%
发文量
145
审稿时长
12 months
期刊介绍: The aim of the Peer-to-Peer Networking and Applications journal is to disseminate state-of-the-art research and development results in this rapidly growing research area, to facilitate the deployment of P2P networking and applications, and to bring together the academic and industry communities, with the goal of fostering interaction to promote further research interests and activities, thus enabling new P2P applications and services. The journal not only addresses research topics related to networking and communications theory, but also considers the standardization, economic, and engineering aspects of P2P technologies, and their impacts on software engineering, computer engineering, networked communication, and security. The journal serves as a forum for tackling the technical problems arising from both file sharing and media streaming applications. It also includes state-of-the-art technologies in the P2P security domain. Peer-to-Peer Networking and Applications publishes regular papers, tutorials and review papers, case studies, and correspondence from the research, development, and standardization communities. Papers addressing system, application, and service issues are encouraged.
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