TY - GEN
T1 - A QoC-aware discovery service for the internet of things
AU - Gomes, Porfírio
AU - Cavalcante, Everton
AU - Batista, Thais
AU - Taconet, Chantal
AU - Chabridon, Sophie
AU - Conan, Denis
AU - Delicato, Flavia C.
AU - Pires, Paulo F.
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The Internet of Things (IoT) is an emergent paradigm characterized by a plethora of smart objects connected to the Internet. An inherent characteristic of IoT is the high heterogeneity and the wide distribution of objects, thereby calling for ways to describe in an unambiguous and machine-interpretable way the resources provided by objects, their properties, and the services they offer. In this context, discovery services play a significant role as they allow clients (middleware platforms, end-users, applications) to retrieve available resources based on appropriate search criteria, such as resource type, capabilities, location, and Quality of Context (QoC) parameters. To cope with these concerns, we introduce QoDisco, a QoC-aware discovery service relying on multiple-attribute searches, range queries, and synchronous/asynchronous operations. QoDisco also comprises an ontology-based information model for semantically describing resources, services, and QoC-related information. In this paper, we describe the QoDisco architecture and information model as well as an evaluation of the search procedure in an urban air pollution monitoring scenario.
AB - The Internet of Things (IoT) is an emergent paradigm characterized by a plethora of smart objects connected to the Internet. An inherent characteristic of IoT is the high heterogeneity and the wide distribution of objects, thereby calling for ways to describe in an unambiguous and machine-interpretable way the resources provided by objects, their properties, and the services they offer. In this context, discovery services play a significant role as they allow clients (middleware platforms, end-users, applications) to retrieve available resources based on appropriate search criteria, such as resource type, capabilities, location, and Quality of Context (QoC) parameters. To cope with these concerns, we introduce QoDisco, a QoC-aware discovery service relying on multiple-attribute searches, range queries, and synchronous/asynchronous operations. QoDisco also comprises an ontology-based information model for semantically describing resources, services, and QoC-related information. In this paper, we describe the QoDisco architecture and information model as well as an evaluation of the search procedure in an urban air pollution monitoring scenario.
U2 - 10.1007/978-3-319-48799-1_39
DO - 10.1007/978-3-319-48799-1_39
M3 - Conference contribution
AN - SCOPUS:85009784442
SN - 9783319487984
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 344
EP - 355
BT - Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings
A2 - García, Carmelo R.
A2 - Quesada-Arencibia, Alexis
A2 - Burmester, Mike
A2 - Caballero-Gil, Pino
PB - Springer Verlag
ER -
