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

被引：4

作者：

Mei, Haoran ^{[1
]}

Peng, Limei ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea

来源：

IEEE WIRELESS COMMUNICATIONS | 2023年 / 30卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Trajectory planning; 5G mobile communication; Collaboration; Computer architecture; Data collection; Robot sensing systems; Internet of Things; AIR;

D O I：

10.1109/MWC.005.2200400

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：90 / 96

页数：7

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