Cost-effective data format for decentralized storage of geographic point location related to physical assets using XNO

Abstract

Tracking and tracing of assets using decentralized systems demand optimized data formats to balance storage costs and retrieval performance. This paper proposes a cost-effective sensor data format tailored for decentralized storage of geographic point locations on XNO, a distributed ledger technology. The proposed format optimizes storage by encoding location data in a compact yet retrievable manner, leveraging spatial indexing techniques to facilitate efficient and transparent querying. This solution presents a promising approach for scalable and affordable asset tracking and tracing using the highly available and transparent decentralized environments, with potential applications across various industries.