Development and runtime support for situation-aware application software in ubiquitous computing environments

Yau, Stephen S.; Huang, Dazhi; Gong, Haishan; Seth, S.

doi:10.1109/cmpsac.2004.1342878

Cited by 22 publications

(20 citation statements)

References 8 publications

(16 reference statements)

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“…Yau et al [8] propose a Reconfigurable Context-Sensitive Middleware (RCSM) for context-aware applications. The RCSM provides application developers with a novel Interface Definition Language (IDL) that can be used to specify context requirements, including the types of context/situation that are relevant to the application, the actions to be triggered, and the timing of these actions.…”

Section: Reconfigurable Context-sensitive Middlewarementioning

confidence: 99%

Middleware for Distributed Context-Aware Systems

Henricksen

Indulska

McFadden

et al. 2005

Lecture Notes in Computer Science

165

122

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Abstract. Context-aware systems represent extremely complex and heterogeneous distributed systems, composed of sensors, actuators, application components, and a variety of context processing components that manage the flow of context information between the sensors/actuators and applications. The need for middleware to seamlessly bind these components together is well recognised. Numerous attempts to build middleware or infrastructure for context-aware systems have been made, but these have provided only partial solutions; for instance, most have not adequately addressed issues such as mobility, fault tolerance or privacy. One of the goals of this paper is to provide an analysis of the requirements of a middleware for context-aware systems, drawing from both traditional distributed system goals and our experiences with developing context-aware applications. The paper also provides a critical review of several middleware solutions, followed by a comprehensive discussion of our own PACE middleware. Finally, it provides a comparison of our solution with the previous work, highlighting both the advantages of our middleware and important topics for future research.

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Section: Reconfigurable Context-sensitive Middlewarementioning

confidence: 99%

Middleware for Distributed Context-Aware Systems

Henricksen

Indulska

McFadden

et al. 2005

Lecture Notes in Computer Science

165

122

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“…Context entities composition and Sharing (COSMOS), each context is exemplar as an object comprehending several built-in mechanisms to ensure push-and pull-based change noti cations [27]. ReconFigurable Context-Sensitive Middleware (RCSM) uses an Interface De nition Language (IDL); by using it the developer can specify context/situations relevant to the application, the actions to trigger and the timings of these actions [28].…”

Section: Context Management Entitymentioning

confidence: 99%

“…COSMOS [27] focuses on context processing assuming all the context data are produced by local sensors. RCSM [28] implements a context discovery protocol to manage registrations of local sensors and discover remote sensors, on application start up. In oodingbased algorithms context dissemination is achieved via ooding operations of the context or of the subscription.…”

Section: Context Delivery Entitymentioning

confidence: 99%

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Borges

2016

Open Computer Science

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Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Networks. Sensor Networks produce a large amount of data. According to the needs this data requires to be processed, delivered and accessed. This processed data when made available with the physical device location, user preferences, time constraints; generically called as context-awareness; is widely referred to as the core function for ubiquitous systems. To our best knowledge there is lack of analysis of context information fusion for ubiquitous sensor networks. Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. In this paper we try and explore di erent context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. All the surveyed techniques can be adapted to the IoT framework.

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“…Yau et al [6] propose a Reconfigurable Context-Sensitive Middleware. The components contained in this middleware comprise a context manager and remote sensors.…”

Section: Introductionmentioning

confidence: 99%

Expectation aware in-network context processing

Sigg

Beigl

2010

Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems

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We present a novel approach for in-network context processing in wireless resource restricted networks. The method reduces the computational complexity and communication load in a network and is therefore well suited for application in resource restricted wireless sensor networks. Additionally, we separate context aggregation and interpretation and fairly distribute the processing load of context aggregation among individual devices in a network. Context interpretation is applied by the last device in this context processing chain. This context interpretation can respect differing and even contradictory expectations although context is processed only once.

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Development and runtime support for situation-aware application software in ubiquitous computing environments

Cited by 22 publications

References 8 publications

Middleware for Distributed Context-Aware Systems

Middleware for Distributed Context-Aware Systems

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Expectation aware in-network context processing

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