REMOTE REAL-TIME INDOOR DEVICE TRACKING BASED ON FUZZY INFERENCE SYSTEM (FIS)

  • L.P. Damuut Department of Mathematical Sciences, Kaduna State University, Kaduna State,
  • Amos Peter Department of Mathematical Sciences, Kaduna State University, Kaduna State, Nigeria.
  • Ayuba Peter Department of Mathematical Sciences, Kaduna State University, Kaduna State, Nigeria.

Abstract

Tracking electronic devices in indoor scenarios is a challenging exercise in view of the limitations inherent in Global Positioning System (GPS). This is attributable to the fact that the GPS requires a direct line of sight, to at least three satellites in orbit, with the device in order for it to be successfully localized and tracked. This paper focuses on the use of Wi-Fi Access Point’s (AP) Receive Signal Strength Indication (RSSI) values, in combination with a Fuzzy Inference System (FIS) in order to deduce (approximate within a degree of certainty) the location of a remote mobile electronic device. The results obtained shows significant improvement in the quality of service benchmarks within the problem domain.

Published
2017-12-31
Section
ARTICLES