Target Localization Using Sensor Location Knowledge in Wireless Sensor Networks

Chun Yi Wei, Hsuan Yin Lin, Po Ning Chen, Yunghsiang S. Han, Pramod Kumar Varshney

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Incorporating error correcting coding techniques into target localization provides an immediate advantage that existing decoding algorithms can be used to determine which area the target is most likely located in. The important knowledge of exact sensor positions is, however, ignored in these decoding algorithms. This paper revisits the problem and shows that based on the weighted average of sensor positions with binary weightings from local decisions, a newly proposed decoding criterion can achieve a much better accuracy in target localization than the soft-and hard-decision rules proposed in [1], particularly when a certain number of sensors are under Byzantine attacks.

Original languageEnglish (US)
JournalIEEE Wireless Communications Letters
StateAccepted/In press - Dec 18 2017


  • Byzantines
  • Decoding
  • Error Correcting Codes
  • Error correction codes
  • Fading channels
  • Indexes
  • Measurement
  • Quantizer Design.
  • Sensors
  • Target Localization
  • Wireless sensor networks
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Target Localization Using Sensor Location Knowledge in Wireless Sensor Networks'. Together they form a unique fingerprint.

Cite this