SDJS: Efficient Statistics in Wireless Networks. Krohn, A.; Beigl, M.; and Wendhack, S. In 12th IEEE International Conference on Network Protocols (ICNP), October, 2004.
abstract   bibtex   
Synchronous Distributed Jam Signalling (SDJS) is a new transmission scheme targeted to highly mobile and ad hoc wireless systems. It is based on the synchronous, parallel and superimposing emission of jam signal on the physical layer. SDJS is intended to be implemented as a feature on existing standards. It enables those system with the ability to fast estimate statistical parameters. This paper presents SDJS in general and then focuses on the application to esti- mate the parameter number of devices in a mobile setting. We studied SDJS and its application through a mathemat- ical model and simulations and proved the idea in a real- world implementation on a mobile network, where we esti- mated the number of devices in real time (within 5ms), in- creasing the estimation speed compared to traditional ap- proaches by factor 1000.
@InProceedings{ 5803,
	title = "SDJS: Efficient Statistics in Wireless Networks.",
	booktitle = "12th IEEE International Conference on Network Protocols (ICNP)",
	author = "Albert Krohn and Michael Beigl and Sabin Wendhack",
	location = "Berlin, Germany",
	month = "October",
	year = "2004",
	abstract = " Synchronous Distributed Jam Signalling (SDJS) is a new transmission scheme targeted to highly mobile and ad hoc wireless systems. It is based on the synchronous, parallel and superimposing emission of jam signal on the physical layer. SDJS is intended to be implemented as a feature on existing standards. It enables those system with the ability to fast estimate statistical parameters. This paper presents SDJS in general and then focuses on the application to esti- mate the parameter number of devices in a mobile setting. We studied SDJS and its application through a mathemat- ical model and simulations and proved the idea in a real- world implementation on a mobile network, where we esti- mated the number of devices in real time (within 5ms), in- creasing the estimation speed compared to traditional ap- proaches by factor 1000. ",
	localfile = "/home/stephan/Daten/Kassel/Paper\_Tutorials\_Konferenzen/Paper/040101\_5803\_SDJS-EfficientStatisticsinWirelessNetworks.pdf"
}
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