Overall, this work package will perform the initial assessment of the requirements for deploying inside the UA Campus of a testbed which could be useful for supporting an open and dynamic ecosystem able to promote smart cities and assisted living application development and experimentation. The work package will further identify the key technology and processes that must be supported for such an environment, and will evaluate all existing assets in the Campus that can potentially provide value for such objective. Upfront, we can mention the expected input coming from the ORCIP Research Infrastructure, and experimental infrastructure developed under the 5G TICE Research Program, and the UA multiple data sources (student and teacher records, door control, etc..).
|2017-10-13||Use cases and Requirements Definition (M1-M3)||This task focuses on the acquisition of a greater level of knowledge about the technological fundamentals for the solution towards a smart environment, with emphasis on a higher level teaching and scientific research location. Thus, the task will define and refine a set of use cases that mirror the technological benefits obtained by this system, as well as the benefits to the different communities that interact with the system. The definition of these use cases will be built based on the identification and exploring of identified issues and opportunities and the Santiago Campus (university’s campus name) environment. The description of these use cases will develop a set of key principles based on the Scenario-Based Design Method. In that way, a set of requirements towards the system elaboration will be identified. These requirements, beyond the interaction and benefit aspects towards the involved communities, will take into account the communication between the campus infrastructure and the user-domain systems, as well as system software design and implementation aspects. It is expected that this task execution reaches several goals, such as the identification of relevant systems, stakeholders, as well as sensor, communication, processing and external system requirements. This is followed by the development of studies which allow the characterization of the impact of created services and presented narratives. This task will cover the participation of the entire project team and involve the direct interaction with representative elements of the different user communities that interact with the smart campus system, that have been identified.|
|2017-10-13||State of the art and Campus Technological Ecosystem Analysis (M1-M4)||This task contemplates the analysis state of the art of the technologies involved in the enablement and deployment of this environment. Regarding sensor devices communication and interaction aspects, there are currently large discussions on the upcoming 5G architecture definition, since that it will be designed from the ground up, with the objective of acknowledging the challenges of mass M2M communications right at the start, which will have a deep impact in this kind of scenario realization. As an example, the mobile network standardization bodies are defining techniques to improve network performance in regards to the network traffic generated by an increasing number of IoT devices. Parallel to this, new smart environment technologies are being developed and integrated, whose contribution deserves to be analyzed in respect to the smart environment to be defined (such as the already identified Software Defined Networking and Information Centric Networks). This task also focuses on the identification of the innovation potential withheld by the technologies that compose the smart campus infrastructure. This study will not only identify the involved technologies, but also their challenges and restrictions, reflecting a project integration concern, both for the support of existing environments, as well as the integration of new elements a posteriori in future instances. The task absorbs the guiding lines of Task 1.1, narrowing the necessary technological fundamentals for the identification of key technologies that take into account the deployment of the identified use cases. The obtained results will constitute the foundation for the systems to be developed in WPs 3, 4 and 5.|