Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

Shani Lu, John May, Russell Haines

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
475 Downloads (Pure)

Abstract

Wireless links are typically modeled in isolation as independent and parallel links. However, in reality, there is often a correlation in defects and impairments between collocated links. The spatial correlation of shadowing among proximate wireless links has been frequently observed. Although different types of correlated shadowing models have been proposed for wireless channels, these models are not present in popular network simulators. Ignoring such correlations results in the diversity of adjacent links being over- estimated. Our hypothesis is that this could lead to incorrect results when evaluating the performance of wireless systems and network protocols. In this paper, the ns-3 simulation environment has been enhanced with a prototype correlated shadowing model developed in our previously published work. We study the end-to-end packet delivery ratio and delay in wireless sensor networks using both correlated and independent propagation models. Simulation results show that correlated and independent shadowing models produce significant differences in network performance. Moreover, we compare the complexity of different modeling options. It is shown that this correlated propagation model in ns-3 can improve simulation realism without inducing any considerable degradation of scalability.
Original languageEnglish
Title of host publicationVehicular Technology Conference (VTC Fall), 2015 IEEE 82nd
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
DOIs
Publication statusPublished - 9 Sep 2015
Event2015 IEEE 82nd Vehicular Technology Conference (VTC Fall) - Boston, MA, United States
Duration: 6 Sep 20159 Sep 2015

Conference

Conference2015 IEEE 82nd Vehicular Technology Conference (VTC Fall)
CountryUnited States
CityBoston, MA
Period6/09/159/09/15

Keywords

  • spatial correlation
  • shadowing
  • ns-3
  • performance evaluation
  • wireless sensor networks

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