Developing Ubiquitous Applications through Service-Oriented Abstractions

García-Macías, J. Antonio; Avilés-López, Edgardo

doi:10.1007/978-3-540-85867-6_25

Cited by 2 publications

(2 citation statements)

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“…UbiSOA [29] is a service-oriented architecture that allows programmers to integrate RFID tags and wireless sensor networks, through the abstraction of Web Services in a centralized model. The gateway provides two kinds of Web Services to the outside world: network services and RFID services.…”

Section: Related Workmentioning

confidence: 99%

Peer-to-Peer Jini for Truly Service-Oriented WSNs

Pereira

Costa

Serôdio

2011

International Journal of Distributed Sensor Networks

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In the past, wireless sensor networks emerged and so did some state-of-the-art applications that ran above them. Most of those applications followed the centralized model and were mainly focused on environmental data gathering, where sensor nodes sensed data from the environment to be sent to an external data server for later processing. Further research took wireless sensor networks to new application areas and, today, this technology gained the ubiquitous status. However, the use of wireless sensor networks is still reserved to experts, mainly due to the huge gap between user applications and the network. This fact has led us to successfully develop a new software stack, capable of running in any sensor node even in the most resource-constrained ones. The new software stack offers a truly service-oriented approach to design and implement applications and follows a widely accepted programming language and programming paradigm.

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Section: Related Workmentioning

confidence: 99%

Peer-to-Peer Jini for Truly Service-Oriented WSNs

Pereira

Costa

Serôdio

2011

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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“…Beyond that, from a research point of view, the researcher must be capable of configuring the sensing system to collect and pre-process selective data without too much hassle. Although sensing platforms can indeed collect data from fixed sensors, they mainly focus on collecting continuous streams of data regardless of their significance or user privacy [13,14] or portraying objects as data/service providers [15,16]. Having a platform that can be configured to collect individual (e.g., mobile phone sensor data) and group context (e.g., sensor data from a fixed device in the living room) from the researcher's desk at pre-deployment or at runtime are particularly rare.…”

Section: Introductionmentioning

confidence: 99%

InCense IoT: A Collective Sensing System for Behavior Data in Shared Spaces

et al. 2018

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Behavioral sensing systems collect data from smartphones, wearables, and other devices with the aim of analyzing and making sense of them. In this work, we present InCense IoT, a collective sensing system which uses mobile and ubiquitous sensors for collecting behavior data of groups of participants in shared spaces. This paper describes the concept of collective sensing, an implementation onto InCense called InCense IoT, innovative features, advantages over individual-centric sensing systems. Finally, this paper presents results of a use case using it in monitoring behaviors in mother-child interactions.

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Developing Ubiquitous Applications through Service-Oriented Abstractions

Cited by 2 publications

References 5 publications

Peer-to-Peer Jini for Truly Service-Oriented WSNs

Peer-to-Peer Jini for Truly Service-Oriented WSNs

InCense IoT: A Collective Sensing System for Behavior Data in Shared Spaces

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