Ubiquitous Context Sensing in Wireless Environments

Ferscha, Alois; Vogl, Simon; Beer, Wolfgang

doi:10.1007/978-1-4615-1167-0_12

Cited by 11 publications

(9 citation statements)

References 1 publication

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Section: Related Workmentioning

confidence: 99%

“…Several of these take an applicationoriented perspective, identifying what high-level information the application desires and only acquiring information necessary to support an application's desired fidelity [26]. SeeMon [13] reduces the cost of context by only reporting changes in context; other time-and event-based approaches also limit overhead this way [8].Many existing projects provide network context-awareness through dedicated software that sends and receives control messages [4], for example by separating characteristics sensed about the wireless portion of a mobile network from those sensed about the wired portions. The approach does not apply to infrastructureless networks and incurs communication overhead to sense context.…”

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confidence: 99%

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Passive Network-Awareness for Dynamic Resource-Constrained Networks

Petz¹,

Jun²,

Roy³

et al. 2011

Distributed Applications and Interoperable Systems

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As computing becomes increasingly mobile, the demand for information about the environment, or context, becomes of significant importance. Applications must adapt to the changing environment, however acquiring the necessary context information can be very expensive because collecting it usually requires communication among devices. We explore collecting reasonably accurate context information passively by defining passively sensed context through network overhearing, defining context metrics without added communication cost. We use this framework to build a small suite of commonly used context metrics and evaluate the quality with which they can reflect ground truth using simulation. We also provide an implementation of this passive sensing framework for Linux, which we evaluate on a real mobile ad-hoc network using mobile autonomous robots with commodity 802.11 b/g wireless cards.velocity information. The extra network traffic these mechanisms generate places an increased burden on the already taxed network, making it difficult to justify the use of context-awareness in the common case. If the overhead of sensing context information can be reduced, the benefit of the availability of the information is increased.We define a framework for defining passively sensed context metrics based on network eavesdropping (Section 3). Our approach focuses on sensing context with zero additional communication overhead. Our context metrics do not provide the exact measure of context that their active counterparts may provide, but we demonstrate the measures' fidelities match traditional measures of context. We use this framework to create instantiations of three common network context measures (Section 4). For each of these metrics, we evaluate the specificity of the passively sensed context metric with respect to the ground truth (Section 5). Our work shows that passive sensing of network context can inexpensively provide information about the state of the world and that, especially when these metrics are correlated with each other, enable adaptive applications in environments where traditional active context sensing is cumbersome. Related WorkThe demand for adaptive mobile applications indicates the need for efficient contextawareness. Much work has focused on supporting software engineering needs through frameworks and middleware that provide programming abstractions for acquiring and responding to context. For example, Hydrogen [10] defines a completely decentralized architecture for managing and serving context information. Hydrogen's abstractions are unconcerned with how context is sensed; clearly, performing context acquisition efficiently is important to the success of such a framework. Many other projects have also looked at reducing the cost of context sensing. Several of these take an applicationoriented perspective, identifying what high-level information the application desires and only acquiring information necessary to support an application's desired fidelity [26]. SeeMon [13] reduces the cost of context by onl...

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Passive Network-Awareness for Dynamic Resource-Constrained Networks

Petz¹,

Jun²,

Roy³

et al. 2011

Distributed Applications and Interoperable Systems

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“…In addition, Jansen-Vullers et al [17] proposed a reference model for information management of manufacturing by applying Gozinto graph modeling for the traceability of goods flow. Ferscha et al [18] presented a generic context information representation framework for a person-thingplace world view and developed context-gathering mechanisms based on time-and event-triggered context sensors. RDF was adopted as an abstract context representation mechanism.…”

Section: Previous Researchmentioning

confidence: 99%

Product Life-Cycle Metadata Modeling and Its Application with RDF

Jun

Kiritsis

Xirouchakis

2007

IEEE Trans. Knowl. Data Eng.

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The whole product life cycle consists of three phases: Beginning of Life (BOL), Middle of Life (MOL), and End of Life (EOL). Although large amounts of product life-cycle data are generated over the whole product life cycle, data flows are rather vague after BOL. Over the last decade, however, emerging Internet, wireless mobile telecommunications, and product identification technologies have created the potential of making the whole product life cycle visible. As a result, the scope of data to be managed has expanded over the whole product life cycle. Hence, it becomes important to describe product life-cycle metadata in a systematic manner. Although much attention has been paid to data modeling over several objects such as products and processes, modeling methodology for product life-cycle metadata is not well developed. To cope with this limitation, we develop a modeling method for product life-cycle metadata by using the resource description framework (RDF). We define an RDF data model and its schema for describing and managing product life-cycle metadata. In addition, we describe how the proposed RDF model can be usefully applied to track, trace, and infer product life-cycle data with an RDF query language.Index Terms-Data design and management, emerging technologies, knowledge and data engineering tools and techniques, query languages.

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“…The sensing mechanism could be either event-triggered or time-triggered, as it was already observed in [2]. The framework has to transform the lower level sensor input into information that fits in the framework's context world model.…”

Section: "A Context Rule Specifies the Reaction Of An Entity On A Spementioning

confidence: 99%

Modeling Context-Aware Behavior by Interpreted ECA Rules

Beer

Christian

Ferscha

et al. 2003

Euro-Par 2003 Parallel Processing

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Abstract. The software architecture of distributed systems is about to change due to new requirements of modern mobile devices. New network techniques, like ad-hoc radio communication or peer-to-peer networks allow mobile devices to sense their environment and to interact with other devices dynamically. This paper presents a cutting-edge way to describe objects and their interaction, also called context, as well as the possibility to configure such interaction scenarios. A lookup mechanism collects information about the environment and a rolebased classification is responsible for identifying possible interaction partners. Furthermore the configuration of scenario behavior with context rules is introduced. Finally a comparison with already existing context frameworks is given and a practical emergency scenario configuration is shown.

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Ubiquitous Context Sensing in Wireless Environments

Cited by 11 publications

References 1 publication

Passive Network-Awareness for Dynamic Resource-Constrained Networks

Passive Network-Awareness for Dynamic Resource-Constrained Networks

Product Life-Cycle Metadata Modeling and Its Application with RDF

Modeling Context-Aware Behavior by Interpreted ECA Rules

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