Adaptive Data Quality for Persistent Queries in Sensor Networks

Rajamani, V.; Julien, Christine

doi:10.1007/978-3-642-10625-5_9

Cited by 3 publications

(2 citation statements)

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“…Data quality metrics for analyzing the quality of the data that is processed by an AAL system are detailed by Rajamani and Julien [2009], and include carrying out measurement of the number of sensor nodes participating in data queries, measuring Data and Information Quality Issues 4:9 …”

Section: Measuring Data Qualitymentioning

confidence: 99%

Data and Information Quality Issues in Ambient Assisted Living Systems

McNaull

Augusto

Mulvenna

et al. 2012

J. Data and Information Quality

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Demographic aging, as a result of people living for longer, has put an increased burden on health and social care provision across most of the economies of the developed and developing world. In order to cope with the greater numbers of older people, together with increasing prevalence of chronic diseases, governments are looking to new ways to provide care and support to older people and their care providers. A growing trend is where health and social care providers are moving towards the use of assisted living technologies to provide care and assistance in the home. In this article, the research area of Ambient Assisted Living (AAL) systems is examined and the data, information and the higher-level contextual knowledge quality issues in relation to these systems, is discussed. Lack of quality control may result in an AAL system providing assistance and support based upon incorrect data, information and knowledge inputs, and this may have a detrimental effect on the person making use of the system. We propose a model whereby contextual knowledge gained during the AAL system's reasoning cycle can be fed back to aid in further quality checking at the various architectural layers, and a realistic AAL scenario is provided to support this. Future research should be conducted in these areas, with the requirement of building quality criteria into the design and implementation of AAL systems.

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Section: Measuring Data Qualitymentioning

confidence: 99%

Data and Information Quality Issues in Ambient Assisted Living Systems

McNaull

Augusto

Mulvenna

et al. 2012

J. Data and Information Quality

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“…In probabilistic sampling (Fig. 2(c)), each node that receives a query probabilistically forwards it to peers; this reduces the overhead, but nodes closer to the issuer are more likely to receive queries [35]. These protocols trade cost for coverage at the edges of the target area, while maintaining even distribution near the query issuer.…”

Section: Processing Gander Queriesmentioning

confidence: 99%

Gander: Mobile, Pervasive Search <italic>of</italic> the Here and Now <italic>in</italic> the Here and Now

Michel

Julien

Payton

2014

IEEE Internet Things J.

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Abstract-The vision of the Internet of Things will enable networked environments populated with vast amounts of data that can be exploited by humans. The volume of digitally available data in such emerging computing spaces presents an imminent need for search mechanisms that enable humans and applications to find relevant information within their digitally accessible physical surroundings. This paper presents Gander, a search engine for these pervasive computing spaces enabled by the Internet of Things and characterized by large volumes of highly transient data. Gander is founded on a novel conceptual model of search that resolves queries about a user's here and now by leveraging proximally-available resources in the here and now. We formally describe the model underlying Gander, describe the networking protocols that enable Gander's search, and provide a realization of Gander via an extensible framework. Employing this Gander framework, we describe a concrete middleware implementation for wirelessly networked environments. We evaluate this implementation of Gander through a user study that examines the perceived utility of myGander, a realworld mobile application enabled by the Gander middleware, and we benchmark the performance of Gander in large pervasive computing spaces through network simulation.

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