Efficient XML Usage within Wireless Sensor Networks

Hoeller, Nils; Reinke, Christoph; Neumann, Jana; Groppe, Sven; Boeckmann, Daniel; Linnemann, Volker

doi:10.4108/icst.wicon2008.4787

Cited by 15 publications

(17 citation statements)

References 17 publications

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“…Design choices are being explored to minimize the cost of providing structured data and functionality description, such as compression and tag compacting techniques [15] and HTTP-based service bindings [26]. In addition, Moritz et al [25] propose adaptations and enhancements to limit the number of exchanged DPWS message for service discovery and meta data exchange.…”

Section: Challenge: Integrating External Sensorsmentioning

confidence: 99%

R&D challenges and solutions for mobile cyber-physical applications and supporting Internet services

White

Clarke

Groba

et al. 2010

J Internet Serv Appl

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The powerful processors and variety of sensors in new and planned mobile Internet devices, such as Apple's iPhone and Android-based smartphones, can be leveraged to build cyber-physical applications that collect sensor data from the real world and communicate it back to Internet services for processing and aggregation. This article presents key R&D challenges facing developers of mobile cyber-physical applications that integrate with Internet services and summarizes emerging solutions to address these challenges. For example, application software should be architected to conserve power, which motivates R&D on tools that can predict the power consumption characteristics of mobile software architectures. Other R&D challenges involve the relative paucity of work on software and sensor data collection architectures that cater to the powerful capabilities and cyber-physical aspects of mobile Internet de-J. White ( ) ·

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Section: Challenge: Integrating External Sensorsmentioning

confidence: 99%

R&D challenges and solutions for mobile cyber-physical applications and supporting Internet services

White

Clarke

Groba

et al. 2010

J Internet Serv Appl

View full text Add to dashboard Cite

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“…For the programming language C, as the main choice of language for sensor network engineering, the XML data binding framework autoXML [15] has been presented. However our previous results in [9] have shown that autoXML is also not applicable for sensor network applications because of a steeply increasing memory demand and instable runtime behaviour.…”

Section: Introductionmentioning

confidence: 96%

“…While the presented work on XML compression was not targeted for sensor network usage, the usage of more structured complex data formats in WSNs was firstly discussed in [8] and [9], where a template-based compression approach is presented. As a result using complex XML data and supporting further XML-based application scenarions and protocols, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…While the early approaches in sensor network data management concentrate on simple and energy efficient data retrieval using simple data schemes [4], [5], [6], [7], e.g. one table per network, recent approaches try to target adapting more complex data schemes like XML to meet the general hardware restrictions in wireless sensor networks [8], [9]. Using XML as a central data exchange format on application layer is suggested to enhance the exchangeability between heterogeneous parts of the network as well as to provide a standardized format for interoperating between sensor networks and other network components.…”

Section: Introductionmentioning

confidence: 99%

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Stream-Based XML Template Compression for Wireless Sensor Network Data Management

Hoeller

Reinke

Neumann

et al. 2010

2010 4th International Conference on Multimedia and Ubiquitous Engineering

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Using structured data formats like XML in wireless sensor networks to support exchangeability and heterogeneity on application level has become an important research topic in the area of large scale networked sensing systems. Besides, the usage of XML encourages the adaptation of service oriented programming techniques to simplify sensor network application engineering. While the sensor nodes still have significant resource limitations in terms of energy and memory capacity and computational power, recent data management approaches show positive results to bridge this resource gap. Nevertheless, further optimizations are needed to enhance the application range to support larger sets of data within the networks. In this work we present an optimization for a template object compression scheme that is based on a stream-oriented XML compression and supports dynamic data management and query evaluation on the compressed data. We hereby present a complete solution for XML compression, data processing and query evaluation that can be further embedded in the engineering process to support developers. The presented solutions are evaluated and result into significant improvements in comparison to previous approaches, when processing complex large scale XML documents.

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“…Because of the limited hardware resources within sensor networks, XML usage was not fully introduced earlier. But now XML usage in sensor networks is made applicable by introducing the XML template objects in an optimized manner [55]. XML is basically a key feature towards the service-oriented sensor networks and a proper medium to support complex data management and heterogeneous sensor networks.…”

Section: Multiservice Provisioning On Multiple Platformsmentioning

confidence: 99%

A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

Alamri

Ansari

Hassan

et al. 2013

International Journal of Distributed Sensor Networks

322

175

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Nowadays, wireless sensor network (WSN) applications have been used in several important areas, such as healthcare, military, critical infrastructure monitoring, environment monitoring, and manufacturing. However, due to the limitations of WSNs in terms of memory, energy, computation, communication, and scalability, efficient management of the large number of WSNs data in these areas is an important issue to deal with. There is a need for a powerful and scalable high-performance computing and massive storage infrastructure for real-time processing and storing of the WSN data as well as analysis (online and offline) of the processed information under context using inherently complex models to extract events of interest. In this scenario, cloud computing is becoming a promising technology to provide a flexible stack of massive computing, storage, and software services in a scalable and virtualized manner at low cost. Therefore, in recent years, Sensor-Cloud infrastructure is becoming popular that can provide an open, flexible, and reconfigurable platform for several monitoring and controlling applications. In this paper, we present a comprehensive study of representative works on Sensor-Cloud infrastructure, which will provide general readers an overview of the Sensor-Cloud platform including its definition, architecture, and applications. The research challenges, existing solutions, and approaches as well as future research directions are also discussed in this paper.

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Efficient XML Usage within Wireless Sensor Networks

Cited by 15 publications

References 17 publications

R&D challenges and solutions for mobile cyber-physical applications and supporting Internet services

R&D challenges and solutions for mobile cyber-physical applications and supporting Internet services

Stream-Based XML Template Compression for Wireless Sensor Network Data Management

A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

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