Desarrollo de aplicaciones para redes de sensores inalámbricas: un enfoque dirigido por modelos

Abstract

Developing software for wireless sensor networks is a task that requires certain technical knowledge about this technology. As a consequence, the potential pool of developers is constrained to those programmers who have the proper formation. This fact prevents people making use of sensor networks as an auxiliary tool for their scientific or production-related studies (who typically have a formation focused on areas such as biology, geology or agriculture) from being able to develop their own software applications. To this regard, the proposal of this PhD Thesis consists in a new software development method for wireless sensor networks, based on MDE (Model Driven Engineering), which enables the description of applications by using simple concepts and the generation of executable code form these descriptions. With this approach, there is no need of acquiring additional technical skills and, also, the development of applications is considerably simplified.

A Big Data Test-bed for Analyzing Data Generated by an Air Pollution Sensor Network

“…The first WSN deployments considered a central repository where the data gathered by the network would be stored and later analyzed by means of queries to this database. As WSN evolved, distributed databases were proposed, some of them with the capability to send queries directly to the WSN (Losilla López, 2007), with the aid of temporal storage in the nodes. This is the case of SensorDB, TinyDB and SwissQM (Jardak, Riihijärv et al 2010).…”