2020/10/12 by Lam Duc Nguyen, Israel Leyva‐Mayorga, Nguyen, Lam Duc +5
Computer Science · #Blockchain Technology Applications and Security #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2010.06003
openalex publication_date 2020/10/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Mobile devices with embedded sensors for data collection and environmental\nsensing create a basis for a cost-effective approach for data trading. For\nexample, these data can be related to pollution and gas emissions, which can be\nused to check the compliance with national and international regulations. The\ncurrent approach for IoT data trading relies on a centralized third-party\nentity to negotiate between data consumers and data providers, which is\ninefficient and insecure on a large scale. In comparison, a decentralized\napproach based on distributed ledger technologies (DLT) enables data trading\nwhile ensuring trust, security, and privacy. However, due to the lack of\nunderstanding of the communication efficiency between sellers and buyers, there\nis still a significant gap in benchmarking the data trading protocols in IoT\nenvironments. Motivated by this knowledge gap, we introduce a model for\nDLT-based IoT data trading over the Narrowband Internet of Things (NB-IoT)\nsystem, intended to support massive environmental sensing. We characterize the\ncommunication efficiency of three basic DLT-based IoT data trading protocols\nvia NB-IoT connectivity in terms of latency and energy consumption. The model\nand analyses of these protocols provide a benchmark for IoT data trading\napplications.\n