SUPERIOT is an open access project and the datasets and algorithms used in the work may be found below. If any items are missing, please get in touch.
D1.4 Description of selected scenarios, applications and their requirements
D1.5 Methodologies for sustainability
D2.4 Energy subsystem for node integration
D3.1 Network Architecture and Gateway Specification
D3.4 Energy model and optimization algorithms
D5.2 Public demonstration and workshop
Open access to data and algorithms
SUPERIOT operated under an open-access policy which made several repositories public:
(1) Open-source repositories of release algorithms and their software implementations
(2) Open publication of selected hardware schematics and designs
(3) Selected open datasets.
The following information is provided below. If other items are required, please get in touch and the SUPERIOT will endeavour to provide it.
KU Leuven environmental sensing dataset
This permalink provides extensive information on the environmental sensing dataset using batteryless light- and energy-aware IoT nodes
University of Bristol SUPERIOT data and software
This repository collects software, datasets, and supporting material produced in SUPERIOT (Hybrid OWC/RF Reconfigurable IoT System), with a focus on energy measurement, modelling, prediction, and optimisation at node, access point, and network level.
VTT
LCA results are reported in D1.5 which is a public document. Database licenses do not allow publishing of more detailed data. For Demo 3 VTT is planning an open access journal article and the associated design and similar data will then become available.