by Athens University of Economics and Business – Research Centre
The Internet of Things will involve a huge number of sensors. Periodically collecting data from all IoT sensors will waste a significant amount of communication and storage resources, in addition to a significant amount of energy, which impedes the scalability of IoT systems. Moreover, it introduces significant privacy risks. The goal of BeSmart was to experiment with procedures for efficiently collecting IoT data while achieving target requirements in terms of data accuracy, timeliness, energy efficiency, and privacy protection. The procedures dynamically adapt the IoT data request density in time (frequency of requests to a particular IoT sensor) and space (requests for the same type of data from IoT sensors located in the same area), as well as add noise to measurements in order to preserve data privacy. The performance evaluations performed by BeSmart involved different data types/phenomena from different testbeds and in different time windows, illustrating the ability of the FIESTA-IoT platform to provide uniform access to measurements of different data types/phenomena and from different testbeds.
More information available at: https://mm.aueb.gr/projects/besmart