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A generalized total least squares algorithm for RSS-based localization with unknown path-loss model parameters

Rahimi, G ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2016.7585577
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2016
  4. Abstract:
  5. Node localization is of paramount importance to different wireless sensor network (WSN) applications. This paper investigates the received signal strength (RSS) based localization problem with unknown path-loss model parameters. Most works in RSS localization assume the transmit power and path-loss exponent (PLE) are known that is not a realistic assumption in some cases. However this paper, assumes the transmit power and the PLE are both unknown and a novel algorithm for sensor location is proposed. The algorithm is based on the generalized total least-squares (GTLS) method and gives an explicit solution for the localization problem. The performance of the proposed method is compared with other methods, and simulations are performed. The results show that there is less localization error in the proposed algorithm compared to the other algorithms. © 2016 IEEE
  6. Keywords:
  7. Generalized total least-squares (GTLS) ; Least-squares (LS) ; Path-loss model ; Received signal strength (RSS) ; Wireless sensor network (WSN) ; Least squares approximations ; Sensor nodes ; Explicit solutions ; Generalized total least squares ; Least squares ; Localization errors ; Localization problems ; Path loss models ; Received signal strength ; RSS-based localization ; Wireless sensor networks
  8. Source: 24th Iranian Conference on Electrical Engineering, ICEE 2016, 10 May 2016 through 12 May 2016 ; 2016 , Pages 521-524 ; 9781467387897 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7585577/?reload=true