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arXiv 2407.02498cs.NIcs.DC
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针对不同无线自组织网络中不同问题的基于聚类的新分类方法

A New Classification of Clustering-based for Different Problems in Different Wireless Ad-hoc Networks

Adda Boualem, Marwane Ayaida, Hichem Sedjelmaci, Chaimaa Khalfi, Kamilia Brahimi, Bochra Khelil, Sanaa Bouchama

AI总结:

本文对无线自组织网络中基于聚类的多种策略进行比较分析,系统梳理其在确定性与不确定性环境下解决覆盖问题的优缺点,并指出未来研究方向。

摘要:

自组织网络专门用于在建立专用网络基础设施极其复杂或不切实际的环境中促进通信。将聚类概念集成到各种自组织网络场景中,包括无线传感器网络(WSN)、移动自组织网络(MANET)、车载自组织网络(VANET)、延迟容忍网络(DTN)、无线自组织网络(WANET)、水下无线传感器网络(UWSN)、无人飞行器网络(UAV,通常称为“无人机”)、空间网络(SN)和卫星网络(TN),为在确定性和不确定性环境中改进事件跟踪和区域监测策略提供了丰富的机会。本文对利用聚类概念解决确定性和不确定性环境中覆盖挑战的各种已提出策略进行了比较分析。因此,本文阐述了基于聚类的WANET中当前和未来的固有挑战,阐明了聚类模型的优点、缺点和不足。最后,本文指出了在现有和新兴技术中解决覆盖问题的潜在途径。

英文摘要:

Ad-hoc networks are specifically designed to facilitate communication in environments where establishing a dedicated network infrastructure is exceedingly complex or impractical. The integration of clustering concepts into various ad-hoc network scenarios, including Wireless Sensor Networks (WSN), Mobile Ad-hoc Networks (MANET), Vehicular Ad-hoc Networks (VANET), Delay-Tolerant Networks (DTN), Wireless Ad-hoc Networks (WANET), Underwater Wireless Sensor Networks (UWSN), Unmanned Aerial Vehicle Networks (UAV), commonly known as "drones," Space Networks (SN), and Satellite Networks (TN), presents abundant opportunities for refining strategies in event tracking and area monitoring across both deterministic and uncertain environments. This paper conducts a comparative analysis of diverse proposed strategies leveraging clustering concepts to address coverage challenges within deterministic and uncertain environments. As a result, it addresses current and future challenges inherent in clustering-based WANET, elucidating the merits, shortcomings, and weaknesses of clustering models. Lastly, it identifies potential avenues for addressing coverage issues in existing and emerging technologies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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