Enabling energy-efficient context recognition with configuration folding

Iqbal, Muhammad; Handte, Marcus; Wagner, Stephan; Apolinarski, Wolfgang; Marrón, Pedro José

doi:10.1109/percom.2012.6199867

Cited by 8 publications

(9 citation statements)

References 15 publications

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“…As described in [4], a detailed analysis of the presented applications shows that configuration folding can save up to 48 percent of energy. The reason for this is twofold.…”

Section: Configuration Foldingmentioning

confidence: 90%

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Configuration folding: An energy efficient technique for context recognition

Iqbal

Handte

Wagner

et al. 2012

2012 IEEE International Conference on Pervasive Computing and Communications Workshops

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This demonstration presents configuration folding, a novel technique which enables the energy efficient execution of multiple context recognition applications on a personal mobile device. Configuration folding achieves energy efficiency by identifying and removing the redundant functionalities in different context recognition applications at runtime. The demonstration shows the effectiveness of configuration folding. To do this, we have implemented two non-trivial sound-based context recognition applications that are able to detect speech and music. During the demonstration, we will execute these applications with folded and unfolded configurations and we will show how the resulting energy gains can be measured. Furthermore, we present how similar applications can be built by means of composition.

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“…As described in [4], a detailed analysis of the presented applications shows that configuration folding can save up to 48 percent of energy. The reason for this is twofold.…”

Section: Configuration Foldingmentioning

confidence: 90%

“…A more detailed technical description of the approach and an experimental evaluation can be found in [4]. In addition to that, more details on the underlying system can be found at [5].…”

Section: Approachmentioning

confidence: 99%

Configuration folding: An energy efficient technique for context recognition

Iqbal

Handte

Wagner

et al. 2012

2012 IEEE International Conference on Pervasive Computing and Communications Workshops

Self Cite

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“…As a result, the main focus of the following discussion is the software for the phone and TV. • NARF component system: To simplify the data acquisition using built-in as well as remote sensors, we use our NARF component system and its associated component toolkit [5]. With NARF, data acquisition applications are modeled as a set of software components with an associated wiring and parametrization.…”

Section: Componentsmentioning

confidence: 99%

Living++

Iqbal

Fet

Wagner

et al. 2013

Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication

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Assisted living systems aim at increasing the independence of persons facing challenges in performing their daily tasks either due to cognitive diseases or aging. In addition, many systems try to help their caregivers in providing effective care to them. However, in order to be useful assisted living systems must be easy to use for the affected persons as well as for their caregivers. Furthermore, to be cost-effective the systems must be inexpensive. In this paper, we discuss our experiences from our assisted living system WebDA and based on the lessons learned we present the Living++ platform which strives to fulfill the mentioned goals. The Living++ platform is built on top of low cost and widely available devices, it provides a familiar TV-based user interface to its users and enables remote monitoring and management through freely available on-line services.

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“…Many pervasive systems [7,8] ignore that problem and treat sensor data as if they were correct. Other systems [4] are developed with quality issues in mind, but their solutions (e.g., filters, fixed quality thresholds or calibration methods) are tailored to that specific application and cannot be easily re-used for other applications.…”

Section: Introductionmentioning

confidence: 99%

Supporting quality-aware pervasive applications by probabilistic data stream management

Kuka

Nicklas

2014

Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems

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Many pervasive computing applications need sensor data streams, which can vary significantly in accuracy. Depending on the application, deriving information (e.g., higherlevel context) from low-quality sensor data might lead to wrong decisions or even critical situations. Thus, it is important to control the quality throughout the whole data stream processing, from the raw sensor data up to the derived information, e.g., a complex event. In this paper, we describe the demonstration of the integration of a uniform metadata model to represent sensor data and information quality at all levels of processing in a data stream processing engine to ease the development of quality-aware applications.

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Enabling energy-efficient context recognition with configuration folding

Cited by 8 publications

References 15 publications

Configuration folding: An energy efficient technique for context recognition

Configuration folding: An energy efficient technique for context recognition

Living++

Supporting quality-aware pervasive applications by probabilistic data stream management

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