Improving wireless simulation through noise modeling

Hyungjune Lee, Alberto Cerpa, Philip Levis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

153 Scopus citations

Abstract

We propose modeling environmental noise in order to efficiently and accurately simulate wireless packet delivery. We measure noise traces in many different environments and propose three algorithms to simulate noise from these traces. We evaluate applying these algorithms to signal-to-noise curves in comparison to existing simulation approaches used in EmStar, TOSSIM, and ns2. We measure simulation accuracy using the Kantorovich-Wasserstein distance on conditional packet delivery functions. We demonstrate that using a closest-fit pattern matching (CPM) noise model can capture complex temporal dynamics which existing approaches do not, increasing packet simulation fidelity by a factor of 2 for good links, a factor of 1.5 for bad links, and a factor of 5 for intermediate links. As our models are derived from real-world traces, they can be generated for many different environments.

Original languageEnglish
Title of host publicationIPSN 2007
Subtitle of host publicationProceedings of the Sixth International Symposium on Information Processing in Sensor Networks
Pages21-30
Number of pages10
DOIs
StatePublished - 2007
EventIPSN 2007: 6th International Symposium on Information Processing in Sensor Networks - Cambridge, MA, United States
Duration: 25 Apr 200727 Apr 2007

Publication series

NameIPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks

Conference

ConferenceIPSN 2007: 6th International Symposium on Information Processing in Sensor Networks
Country/TerritoryUnited States
CityCambridge, MA
Period25/04/0727/04/07

Keywords

  • Sensor networks
  • Wireless simulation

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