从远程能量收集设备到互联低轨道卫星的语义感知更新

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-06-16 DOI:10.1109/LCOMM.2025.3580155

Erfan Delfani;Nikolaos Pappas

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引用次数: 0

摘要

随着数据量的增长，而设备上可用的资源仍然有限，在地面和非地面综合网络中提供及时和信息丰富的数据至关重要。为了解决这个问题，我们采用语义感知方法来优化状态更新系统中的版本信息时代（VAoI），在该系统中，远程能量收集（EH）物联网（IoT）设备采集数据并将其传输到相互连接的低地球轨道（LEO）卫星网络以进行传播和利用。通过对整个网络的VAoI进行随机建模和优化，得出最优更新策略。结果表明，该策略通过跳过过时或不相关的数据来减少更新频率，显着提高了能源效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Semantics-Aware Updates From Remote Energy Harvesting Devices to Interconnected LEO Satellites

Providing timely and informative data in integrated terrestrial and non-terrestrial networks is critical as data volume grows while the resources available on devices remain limited. To address this, we adopt a semantics-aware approach to optimize the Version Age of Information (VAoI) in a status update system in which a remote Energy Harvesting (EH) Internet of Things (IoT) device samples data and transmits it to a network of interconnected Low Earth Orbit (LEO) satellites for dissemination and utilization. The optimal update policy is derived through stochastic modeling and optimization of the VAoI across the network. The results indicate that this policy reduces the frequency of updates by skipping stale or irrelevant data, significantly improving energy efficiency.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.