Exploring the predictability of network metrics in the presence of unreliable wireless links

Authors:
Marco Zuniga;Bhaskar Krishnamachari
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA
Venue:
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Year:
2004

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Abstract

In designing, analyzing and monitoring wireless sensor networks (WSN), engineers are interested in global performance metrics such as energy consumption, delivery rate, and delay. Such metrics are often variable and stochastic in nature. In traditional broadband networks the variability is primarily due to traffic variations and bandwidth constraints; in WSN there are additional sources of variability including energy, computation constraints, and most significantly, due to the inherently unreliable nature of wireless links. The goal of our study is to understand how link-layer unreliability impacts global performance metrics.