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Measurement applications for our contribution: Long-Range ICN for the IoT: Exploring a LoRa System Design

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inetrg/IFIP-Networking-LoRa-ICN-2022

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Long-Range ICN for the IoT: Exploring a LoRa System Design (IFIP Networking 2022)

Paper Preprint Video

This repository contains code and documentation to reproduce experimental results of the paper "Long-Range ICN for the IoT: Exploring a LoRa System Design" published in Proc. of the IFIP Networking Conference 2022.

  • Peter Kietzmann, José Alamos, Dirk Kutscher, Thomas C. Schmidt, Matthias Wählisch, Long-Range ICN for the IoT: Exploring a LoRa System Design, In: Proc. of 21th IFIP Networking Conference, Piscataway, NJ, USA: IEEE, 2022.

Abstract

This paper presents LoRa-ICN, a comprehensive IoT networking system based on a common long-range communication layer (LoRa) combined with Information-Centric Networking~(ICN) principles. We have replaced the LoRaWAN MAC layer with an IEEE 802.15.4 Deterministic and Synchronous Multi-Channel Extension (DSME). This multifaceted MAC layer allows for different mappings of ICN message semantics, which we explore to enable new LoRa scenarios. We designed LoRa-ICN from the ground-up to improve reliability and to reduce dependency on centralized components in LoRa IoT scenarios. We have implemented a feature-complete prototype in a common network simulator to validate our approach. Our results show design trade-offs of different mapping alternatives in terms of robustness and~efficiency.

Please follow our Getting Started instructions for further information how to compile and execute the code.

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Measurement applications for our contribution: Long-Range ICN for the IoT: Exploring a LoRa System Design

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