Objectives: In WP4 we will focus on the processing and use of real-time localization and context information from individual nodes in extreme wireless distributed systems.
We will consider two different sorts of operational environments: in the city and at home. The focus of the work package is on two aspects of processing and use of real-time localization and context information, namely
- how to use AI techniques and
- how to protect privacy of users of whom data/signals are collected by the network.
As an application, implemented on an EWiDS network, we will investigate the provisioning of two sorts of services to individuals (humans) that are part of an extreme wireless distributed system: the push services, delivered from the system to the human via an interface on a connected device and the pull services demanded by a human from the system. An example of a push service in the context of the city can be the automatic notification of the proximity of public transport facilities, friends or private transport (taxi’s). An example of a pull service can be the request for notification of a certain shop or a medical doctor or ‘somebody I know’ in the immediate vicinity. Note that these services are, in principle, to be provided by the network, and not by an external (centralized) service.
With respect to the focus on the well-being of people, we define the goal here as being provided with pre-defined requested information about available services any time, any place and the capacity to issue specific service requests any time and any place. By demonstrating that we can build applications that support this, based on the use of an extreme wireless distributed system, we address the defined technical and scientific problem in a direct way.