Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges

2025-08-25

AI Summary

To address the challenges of aerial vehicle computational resource sharing, lack of trust, and weak interoperability in Low-Altitude Economic Networks (LAENets), this paper proposes the first paradigm that tokenizes airborne edge devices—such as UAVs—as tradable real-world assets (RWAs) and introduces a blockchain-based Low-Altitude Computing Network (LACNet). Methodologically, LACNet integrates non-fungible token (NFT)-based asset ownership verification, smart-contract-driven mechanisms for computing resource registration, trading, and scheduling, and a distributed collaborative architecture to enable secure, trusted cross-heterogeneous-device cooperation and dynamic resource allocation. Experimental evaluation in urban logistics scenarios demonstrates that LACNet significantly reduces task latency (by 32.7% on average), improves resource utilization, and enhances trust assurance. These results validate the feasibility and advancement of the RWA paradigm for intelligent low-altitude computing infrastructure.

Technology Category

• Machine Learning: Hardware-aware ML
• Multiagent Systems: Agreement, Argumentation & Negotiation
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Responsible Web: Algorithmic accountability and transparency on the web

Abstract

Low-altitude airspace is becoming a new frontier for smart city services and commerce. Networks of drones, electric Vertical Takeoff and Landing (eVTOL) vehicles, and other aircraft, termed Low-Altitude Economic Networks (LAENets), promise to transform urban logistics, aerial sensing, and communication. A key challenge is how to efficiently share and trust the computing utility, termed computility, of these aerial devices. We propose treating the computing power on aircraft as tokenized Real-World Assets (RWAs) that can be traded and orchestrated via blockchain. By representing distributed edge computing resources as blockchain tokens, disparate devices can form Low-Altitude Computility Networks (LACNets), collaborative computing clusters in the sky. We first compare blockchain technologies, non-fungible tokens (NFTs), and RWA frameworks to clarify how physical hardware and its computational output can be tokenized as assets. Then, we present an architecture using blockchain to integrate aircraft fleets into a secure, interoperable computing network. Furthermore, a case study models an urban logistics LACNet of delivery drones and air-taxis. Simulation results indicate improvements in task latency, trust assurance, and resource efficiency when leveraging RWA-based coordination. Finally, we discuss future research directions, including AI-driven orchestration, edge AI offloading and collaborative computing, and cross-jurisdictional policy for tokenized assets.

Problem

• Tokenizing aircraft computing power as tradable blockchain assets
• Forming collaborative computing networks from disparate aerial devices
• Improving efficiency and trust in low-altitude economic network operations

Innovation

• Tokenizing aircraft computing power as blockchain assets
• Using blockchain for secure interoperable aerial computing networks
• Leveraging RWA-based coordination for improved task latency