M-cluster and X-ray: Two methods for multi-jammer localization in wireless sensor networks

Tianzhen Cheng, Ping Li, Sencun Zhu, Don Torrieri

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

Jamming is one of the most severe attacks in wireless sensor networks (WSNs). While existing countermeasures mainly focus on designing new communication mechanisms to survive under jamming, a proactive solution is to first localize the jammer(s) and then take necessary actions. Unlike the existing work that focuses on localizing a single jammer in WSNs, this work solves a multi-jammer localization problem, where multiple jammers launch collaborative attacks. We develop two multi-jammer localization algorithms: a multi-cluster localization (M-cluster) algorithm and an X-rayed jammed-area localization (X-ray) algorithm. Our extensive simulation results demonstrate that with one run of the algorithms, both M-cluster and X-ray are efficient in localizing multiple jammers in a wireless sensor network with small errors.

Original languageEnglish (US)
Pages (from-to)19-34
Number of pages16
JournalIntegrated Computer-Aided Engineering
Volume21
Issue number1
DOIs
StatePublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Artificial Intelligence

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