Distributed Monitoring of Smart Buildings with Cloud Backend Infrastructure

As Internet of Things applications have increased significantly over the last period in both research and industry there is an increased need for end-to-end robust demonstrators which can drive further adoption and technology developments in this field. The paper presents the application of a wireless sensor network system for distributed sensing in a smart building. The main objective has been to allow the reliable collection, storage and presentation of the collected data aimed at improving the quality of life of occupants in office environments. This includes both comfort conditions as well as dangerous situations which can appear given high concentrations of gases in the indoor setting. Special consideration has also been given to enabling scalability for integration of a large number of heterogenous sensor nodes and development of a cloud-based processing pipeline for advanced data analytics. This ranges from data visualisation and statistical indicators for dynamic thresholding towards machine learning inspired approaches, deployed within the cloud infrastructure. The key advantages and challenges of the presented solution are also discussed.