On Multi-Robot Data Collection and Offloading for Space-Aerial-Surface Computing

IF 10.9 1区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE Wireless Communications Pub Date : 2023-04-01 DOI:10.1109/MWC.005.2200400

Haoran Mei, Limei Peng

引用次数: 1

Abstract

This article introduces a novel computing architecture, called space-aerial-surface computing (SASC), for intelligent data collection and offloading via multiple collaborative robots in massive Internet of Things (IoT) sensor networks. The effectiveness of the proposed architecture is justified, and a number of key issues relevant to the proposed architecture are discussed, including data-similarity-aware node selection and clustering, collaborative trajectory planning strategies, the collaboration of heterogeneous robots, and aerial computing-integrated data offloading schemes.

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空间航空表面计算中的多机器人数据采集与卸载

本文介绍了一种新的计算架构，称为空间航空表面计算（SASC），用于在大规模物联网（IoT）传感器网络中通过多个协作机器人进行智能数据收集和卸载。该体系结构的有效性是合理的，并讨论了与该体系结构相关的一些关键问题，包括数据相似性感知节点选择和聚类、协同轨迹规划策略、异构机器人的协作以及空中计算集成数据卸载方案。

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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来源期刊

IEEE Wireless Communications 工程技术-电信学

CiteScore

24.20

自引率

1.60%

发文量

183

审稿时长

6-12 weeks

期刊介绍： IEEE Wireless Communications is tailored for professionals within the communications and networking communities. It addresses technical and policy issues associated with personalized, location-independent communications across various media and protocol layers. Encompassing both wired and wireless communications, the magazine explores the intersection of computing, the mobility of individuals, communicating devices, and personalized services. Every issue of this interdisciplinary publication presents high-quality articles delving into the revolutionary technological advances in personal, location-independent communications, and computing. IEEE Wireless Communications provides an insightful platform for individuals engaged in these dynamic fields, offering in-depth coverage of significant developments in the realm of communication technology.