Utz Roedig

Validating the Sensor Network Calculus by Simulations

Utz Roedig, Nicos Gollan, and Jens Schmitt. Validating the Sensor Network Calculus by Simulations. In Proceedings of the 2nd Performance Control in Wireless Sensor Networks Workshop at the 2007 WICON Conference, Austin, Texas, USA, ACM Press, October 2007.

Download

[159.8kB pdf] 

Abstract

Abstract Network Calculus has been proposed and customized as a framework for worst-case analysis in wireless sensor networks (WSNs). It has been demonstrated that this so-called Sensor Network Calculus (SNC) is an effective network dimensioning tool as it allows us to calculate maximum message transfer delays and communication related energy consumption patterns before network deployment. So far it is unclear how the SNC calculated worst-case delay bounds compare to values experienced in real deployments. Our experiments presented in this paper show that an SNC worst-case delay prediction can be as little as 2.7% above the measured worst-case delay in a typical application scenario. Thus, it can be concluded that the SNC has a very practical relevance for dimensioning wireless sensor networks.

BibTeX

@InProceedings{         pwsn07:roedig,
  author        	= {Utz Roedig and Nicos Gollan and Jens Schmitt},
  title         	= {{Validating the Sensor Network Calculus by Simulations}},
  year          	= {2007},
  month         	= October,
  booktitle     	= {Proceedings of the 2nd Performance Control in Wireless Sensor Networks Workshop at the 2007 WICON Conference, Austin, Texas, USA},
  publisher     	= {ACM Press},
  abstract		= 
	{
			Abstract Network Calculus has been proposed and customized as a framework for worst-case analysis in wireless sensor 
			networks (WSNs). It has been demonstrated that this so-called Sensor Network Calculus (SNC) is an effective network 
			dimensioning tool as it allows us to calculate maximum message transfer delays and communication related energy consumption 
			patterns before network deployment. So far it is unclear how the SNC calculated worst-case delay bounds compare to values 
			experienced in real deployments. Our experiments presented in this paper show that an SNC worst-case delay prediction can 
			be as little as 2.7\% above the measured worst-case delay in a typical application scenario. Thus, it can be concluded 
			that the SNC has a very practical relevance for dimensioning wireless sensor networks. 
	}
}