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

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.