title: A cloud-based Internet of Things platform for ambient assisted living.
abstract: A common feature of ambient intelligence is that many objects are inter-connected and act in unison, which is also a challenge in the Internet of Things. There has been a shift in research towards integrating both concepts, considering the Internet of Things as representing the future of computing and communications. However, the efficient combination and management of heterogeneous things or devices in the ambient intelligence domain is still a tedious task, and it presents crucial challenges. Therefore, to appropriately manage the inter-connection of diverse devices in these systems requires: (1) specifying and efficiently implementing the devices (e.g., as services); (2) handling and verifying their heterogeneity and composition; and (3) standardizing and managing their data, so as to tackle large numbers of systems together, avoiding standalone applications on local servers. To overcome these challenges, this paper proposes a platform to manage the integration and behavior-aware orchestration of heterogeneous devices as services, stored and accessed via the cloud, with the following contributions: (i) we describe a lightweight model to specify the behavior of devices, to determine the order of the sequence of exchanged messages during the composition of devices; (ii) we define a common architecture using a service-oriented standard environment, to integrate heterogeneous devices by means of their interfaces, via a gateway, and to orchestrate them according to their behavior; (iii) we design a framework based on cloud computing technology, connecting the gateway in charge of acquiring the data from the devices with a cloud platform, to remotely access and monitor the data at run-time and react to emergency situations; and (iv) we implement and generate a novel cloud-based IoT platform of behavior-aware devices as services for ambient intelligence systems, validating the whole approach in real scenarios related to a specific ambient assisted living application.
authors.affiliation: Universidad de Málaga, Departamento de Lenguajes y Ciencias de la Computación, Campus de Teatinos, 29071 Málaga, Spain. cubo@lcc.uma.es.
authors.forename: Javier
authors.initials: J
authors.lastname: Cubo
authors.affiliation: Universidad de Málaga, Departamento de Lenguajes y Ciencias de la Computación, Campus de Teatinos, 29071 Málaga, Spain. adrian@lcc.uma.es.
authors.forename: Adrián
authors.initials: A
authors.lastname: Nieto
authors.affiliation: Universidad de Málaga, Departamento de Lenguajes y Ciencias de la Computación, Campus de Teatinos, 29071 Málaga, Spain. ernesto@lcc.uma.es.
authors.forename: Ernesto
authors.initials: E
authors.lastname: Pimentel
mesh_terms: D001185:Artificial Intelligence; D003199:Computer Systems; D020407:Internet; D012984:Software
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