Description
TL;DR: A pre-Lightning IoT concept in which sensor owners can identify devices, expose data, and receive small Bitcoin payments from data buyers.
About This Document
Kay Noyen, Dirk Volland, Dominic Wörner, and Elgar Fleisch frame sensor data as a service that can be traded directly. Their architecture uses Bitcoin for device or owner identification and payment while outlining a data-for-cash exchange between sensor operators and consumers. The paper focuses on the business model and a conceptual implementation at a time when automated machine payments were still an early Bitcoin experiment.
Why Bitcoin People May Care
Machine payments are a recurring Bitcoin theme, and this 2014 paper captures the idea before later payment-layer tooling matured. It is useful precisely as a period design: the transaction costs, privacy model, identity assumptions, and user experience need to be judged in their historical context. It does not describe Lightning Network payments or prove a production marketplace.
What You Receive
Purchase reveals the verified preserved PDF location for this document.
Document Details
- Title: When Money Learns to Fly: Sensor Data Services Using Bitcoin
- Author / organization: Kay Noyen, Dirk Volland, Dominic Wörner, and Elgar Fleisch
- Year: 2014
- Language: English
- Document type: IoT and Bitcoin research paper
- Pages: 6
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