Techniques for integrating sensors into the enterprise network

Rooney, Seán; Bauer, Daniel; Scotton, Paolo

doi:10.1109/tnsm.2006.4798306

Cited by 12 publications

(10 citation statements)

References 8 publications

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“…Rooney et al [10] propose so-called EdgeServers to integrate sensor networks into enterprise networks. EdgeServers filter and aggregate raw sensor data (using application specific code) to reduce the amount of data forwarded to application servers.…”

Section: Related Workmentioning

confidence: 99%

Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks

Aberer

Hauswirth

Salehi

2007

2007 International Conference on Mobile Data Management

281

203

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Abstract-With the price of wireless sensor technologies diminishing rapidly we can expect large numbers of autonomous sensor networks being deployed in the near future. These sensor networks will typically not remain isolated but the need of interconnecting them on the network level to enable integrated data processing will arise, thus realizing the vision of a global "Sensor Internet." This requires a flexible middleware layer which abstracts from the underlying, heterogeneous sensor network technologies and supports fast and simple deployment and addition of new platforms, facilitates efficient distributed query processing and combination of sensor data, provides support for sensor mobility, and enables the dynamic adaption of the system configuration during runtime with minimal (zeroprogramming) effort. This paper describes the Global Sensor Networks (GSN) middleware which addresses these goals. We present GSN's conceptual model, abstractions, and architecture, and demonstrate the efficiency of the implementation through experiments with typical high-load application profiles. The GSN implementation is available from http://gsn.sourceforge.net/.

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Section: Related Workmentioning

confidence: 99%

Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks

Aberer

Hauswirth

Salehi

2007

2007 International Conference on Mobile Data Management

281

203

View full text Add to dashboard Cite

show abstract

“…In IrisNet, the authors propose a two-tier architecture consisting of sensing agents, which collect and pre-process sensor data and organizing agents, which store sensor data in a hierarchical, distributed XML database. [11] and [17] provide hierarchical data stream query processing to acquire, filter, and aggregate data from multiple devices in a static environment, with the focus on filtering the useful data as close as possible from the producing device. Besides these architectures, a large number of systems for query processing in sensor networks exist.…”

Section: Related Workmentioning

confidence: 99%

Continuous query evaluation over distributed sensor networks

Jurca

Michel

Herrmann

et al. 2010

2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)

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Abstract-In this paper1 we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publish/subscribe systems. We show how these principles can be ported to our envisioned architectural model by enriching the common query model with location dependent attributes. We allow users to subscribe to a set of sensor attributes, a service that requires processing multi-join correlation queries. The goal is to decrease the overall network traffic consumption by removing redundant subscriptions and eliminating unrequested events close to the publishing sensors. This is non-trivial, especially in the presence of multi-join queries without any central control mechanism. Our approach is based on the concept of filter-splitforward phases for efficient subscription filtering and placement inside the network. We report on a performance evaluation using a real-world dataset, showing the improvements over the stateof-the-art, as we reduce the overall data traffic by half.

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“…Both IrisNet [6] and Hourglass [12] propose an Internet-based infrastructure for connecting sensor networks to applications. [5] and [10] provide hierarchical data stream query processing to acquire, filter, and aggregate data from multiple devices in a static environment, with the focus on filtering the useful data as close as possible from the producing device.…”

Section: Related Workmentioning

confidence: 99%

Processing publish/subscribe queries over distributed data streams

Jurca

Michel

Herrmann

et al. 2009

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

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We address the problem of processing continuous multi-join queries, over distributed data streams, making use of existing work in the field of publish/subscribe systems. We show how these principles can be ported to data streams, by enriching the common query model with location dependent attributes. Users can subscribe to a set of sensor attributes, a service that requires processing multi-join correlation queries. The goal is to decrease the overall network traffic consumption by removing redundant subscriptions and eliminating unrequested events close to the publishing sensors. This is non-trivial, especially in the presence of multi-join queries without any central control mechanism. Our approach is based on the concept of filter-split-forward phases for efficient subscription filtering and placement inside the network. We report on a performance evaluation using a real-world dataset, showing the suitability of our approach to reduce the overall data traffic.

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Techniques for integrating sensors into the enterprise network

Cited by 12 publications

References 8 publications

Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks

Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks

Continuous query evaluation over distributed sensor networks

Processing publish/subscribe queries over distributed data streams

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