DPkCR: Distributed Proactive k-Connectivity Recovery Algorithm for UAV-Based MANETs

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Reliability Pub Date : 2024-03-13 DOI:10.1109/TR.2024.3370743
Mustafa Tosun;Umut Can Cabuk;Elif Haytaoglu;Orhan Dagdeviren;Yusuf Ozturk
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Abstract

Maintenance of connectivity in mobile ad hoc networks (MANETs) and especially in flying ad hoc networks, consisting of unmanned aerial vehicles (UAV), has crucial importance. Missions planned within these types of networks can be interrupted due to node failures, link errors, etc. This case becomes more critical when the application is heavily communication-dependent. To alleviate such problems, in this article, we propose a distributed proactive $k$ -connectivity recovery algorithm (DP $k$ CR) for UAV-based MANETs. To this end, the algorithm has been developed and tested by providing realistic scenarios. The time and message complexity analysis of the algorithm is presented. Moreover, to analyze the performance of the proposed algorithm, we compared it with other $k$ -connectivity restoration algorithms in the literature. Simulation results revealed that DP $k$ CR outperforms the alternatives in terms of convergence time for the recovery phase and, subsequently, in terms of energy consumption. Furthermore, DP $k$ CR provides improvements to the bandwidth requirements for the restoration.
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DPkCR:基于无人机的城域网分布式主动 k 连接恢复算法
在移动自组网(manet)中,特别是在由无人机(UAV)组成的飞行自组网中,连通性的维护具有至关重要的意义。在这些类型的网络中计划的任务可能由于节点故障、链路错误等而中断。当应用程序严重依赖通信时,这种情况变得更加关键。为了缓解这些问题,在本文中,我们为基于无人机的manet提出了一种分布式主动$k$连接恢复算法(DP$k$CR)。为此,通过提供现实场景,开发并测试了该算法。给出了算法的时间复杂度和消息复杂度分析。此外,为了分析所提出算法的性能,我们将其与文献中其他$k$连接恢复算法进行了比较。仿真结果表明,DP$k$CR在恢复阶段的收敛时间以及随后的能耗方面优于替代方案。此外,DP$k$CR改进了恢复的带宽要求。
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来源期刊
IEEE Transactions on Reliability
IEEE Transactions on Reliability 工程技术-工程:电子与电气
CiteScore
12.20
自引率
8.50%
发文量
153
审稿时长
7.5 months
期刊介绍: IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness. Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field. As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.
期刊最新文献
Table of Contents IEEE Reliability Society Information Editorial: Applied AI for Reliability and Cybersecurity 2024 Index IEEE Transactions on Reliability Vol. 73 Table of Contents
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