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The Smart Cities paradigm relies among other things on the gathering of specific information, which is used for managing one or more specific urban subsystems, such as Energy and Public Lighting Management. That information needs to be captured or sensed by dedicated devices, which take readings of specific metrics that are used in the reasoning processes for the control and management of such urban subsystems. The latter include therefore a network of sensing devices, usually fixed. As in any other data communication network, it is crucial to ensure security, in this case namely due to the particularly critical nature of the involved information required in the control and management of such vital urban subsystems.

Business case description:

Some of the latest rising technological trends are wearable smart devices, and the Internet of Things (IoT). Customized wearable devices can be used to collect specific information, namely based on measurements taken autonomously by dedicated inbuilt sensors, which usually are not integrated in other smart mobile devices. With the current massification of smart mobile devices, e.g. smartphones, with both short-range and Internet connectivity, such equipment become optimal candidates to act as wearable sensors data aggregators and gateways for automatically transferring such measurements and information to centralized entities. These entities can actually belong to specific urban subsystem(s), which can exploit such information, in a complementary way in its processes, provided by the wearable sensors carried by many holders, in a crowd-sensing approach.

Target market:

Utility companies and public infrastructures

Environment:

Smart cities urban subsystems, which would benefit from optimized decision making in their online management processes, based on multiple georeferenced metrics data collected autonomously within a specific area where the actual citizens of a particular community effectively are.

Use case scenario:

In this distributed sensing scheme that relies on individuals’ mobility to gather useful information, which can be exploited by urban subsystems to optimize its performance and efficiency, it would be critical to respect the privacy of each individual participating in such scheme, assuring its anonymity. This aspect is at the core of this use case as it is considered to be one of the major showstoppers in the effective deployment of crowd-sensing applications.

Technological requirements, state of the art, main deadlocks:


The use case relies mainly on two fundamental technology aspects: