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WiseObserver: a real experience with wireless sensor networks

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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks table of contents

Vancouver, British Columbia, Canada

Pages 23-26

Year of Publication: 2008

ISBN:978-1-60558-239-9

Authors

Juan Antonio Castillo	Albacete Research Institute of Informatics/University of Castilla-La Mancha, Albacete, Spain
Antonio Manuel Ortiz	Albacete Research Institute of Informatics/University of Castilla-La Mancha, Albacete, Spain
Vicente López	Albacete Research Institute of Informatics/University of Castilla-La Mancha, Albacete, Spain
Teresa Olivates	Albacete Research Institute of Informatics/University of Castilla-La Mancha, Albacete, Spain
Luis Orozco-Barbosa	Albacete Research Institute of Informatics/University of Castilla-La Mancha, Albacete, Spain

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

This Wireless Sensor Network Data Visualization Framework tries to be a tool for the visualization and analysis of data collected by a wireless sensor network in a generic scope of application. It also tries to establish a sensor network control interface.

The tool will include several facilities to treat sensor network data. It allows ht e generation of evolution charts, interpolation maps, evolution data videos, and report generation. It also includes modules to add external data not collected by nodes, but related to the network conditions. Node management will be possible thanks to the execution of commands in network nodes, to perform changes in network operation.

All these functionalities have been implemented taking into account a reasonable performance level. It also guarantees reliability making use of security restrictions. The tool will be easily maintainable and will allow the portability between different hardware platforms, both regarding to the platform in which it will be executed and network node hardware, allowing data management and data treatment of different platforms.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Carsten Buschmann , Dennis Pfisterer , Stefan Fischer , Sándor P. Fekete , Alexander Kröller, SpyGlass: taking a closer look at sensor networks, Proceedings of the 2nd international conference on Embedded networked sensor systems, November 03-05, 2004, Baltimore, MD, USA [doi>10.1145/1031495.1031546]
	2	Surge Network Viewer, Crossbow Technology Inc.: http://www.xbow.com/Products/productsdetails.aspx?sid= 86.
	3	MoteVIEW Monitoring Software, Crossbow Technology Inc.: http://www.xbow.com.
	4	TinyOS: http://www.tinyos.net.
	5	T. Olivares et all. Wisevine: Wireless Sensor Networks applied to Vineyards. In Proceedings of the REALWSN'06 ACM Workshop on Real-World Wireless Sensor Networks, 2006.
	6	Industrial Routing Requirements in Low Power and Lossy Networks. draft-ietf-roll-indus-routing-reqs-01. http://www.ietf.org/internet-draft
	7	http://www.jpeg.org