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H. Truong:
"Enabling Edge Analytics of IoT Data: the Case of LoRaWAN";
Vortrag: Global Internet of Things Summit 2018 (GIoTS 2018), Bilbao, Spain; 04.06.2018 - 07.06.2018; in: "Proceedings of the Global Internet of Things Summit 2018 (GIoTS 2018)", IEEE, (2018), ISBN: 978-1-5386-6452-0; S. 13 - 18.

LoRaWAN is a promising network solution for various application domains, especially in developing countries. While its network architecture is highly distributed, the network architecture aims at aggregating data into a centralized location, mainly the cloud-based data center. With such an architecture, we can bring data from distributed sensing sources to centralized cloud-based data and analytics services, however, it does not foster edge analytics atop LoRaWAN, which is highly suitable for scenarios in developing countries due to connectivity and cost constraints. We outline a conceptual architecture and design augmenting LoRaWAN software architecture for edge analytics. In this paper we develop techniques for edge analytics working with LoRaWAN core network functions. We present key principles of shared data for edge analytics with LoRaWAN. Based on that, we describe main services, their interactions and data models for connecting edge analytics to LoRaWAN infrastructures. We present our prototype to illustrate our implementation.

http://dx.doi.org/10.1109/GIOTS.2018.8534429

Projektleitung Hong-Linh Truong:
INTER-IoT