Towards detecting WiFi aggregated interference for wireless sensors based on traffic modelling

  • Indika S.A. Dhanapala
  • , Ramona Marfievici
  • , Piyush Agrawal
  • , Dirk Pesch

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

We present a technique to identify transmission timing for IEEE802.15.4 basedWireless Sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results are promising and suggest that our approach can increase the reliability of IEEE802.15.4 transmissions.

Original languageEnglish
Title of host publicationProceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-109
Number of pages2
ISBN (Electronic)9781509014590
DOIs
Publication statusPublished - 8 Aug 2016
Externally publishedYes
Event12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016 - Washington, United States
Duration: 26 May 201628 May 2016

Publication series

NameProceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016

Conference

Conference12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016
Country/TerritoryUnited States
CityWashington
Period26/05/1628/05/16

Keywords

  • Cognitive radio
  • Interference detection
  • Traffic modelling
  • Wireless sensor networks

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