Algorithms for Estimating the Location of Remote Nodes Using Smartphones

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Locating the position of a remote node on a wireless network is becoming more relevant, as we move forward in the Internet of things and in autonomous vehicles. This paper proposes a new system to implement the location of remote nodes. A new prototype Android application has been developed to collect real measurements and to study the performance of several smartphone's sensors and location algorithms, including an innovative one, based on the second order cone programming (SOCP) relaxation. The application collects the WiFi access points information and the terminal location. An internal odometry module developed for the prototype is used when Android's service is unavailable. This paper compares the performance of existing location estimators given in closed form, an existing SOCP one, and the new SOCP location estimator proposed, which has reduced complexity. An algorithm to merge measurements from non-identical terminals is also proposed. Cooperative and terminal stand-alone operations are compared, showing a higher performance for SOCP-based ones, that are capable of estimating the path loss exponent and the transmission power. The heterogeneous terminals were also used in the tests. Our results show that the accurate positioning of static remote entities can be achieved using a single smartphone. On the other hand, the accurate real-time positioning of the mobile terminal is provided when three or more scattered terminal nodes cooperate sharing the samples taken synchronously.

Original languageEnglish
Article number8664423
Pages (from-to)33713-33727
Number of pages15
JournalIEEE Access
Publication statusPublished - 1 Jan 2019


  • android applications
  • cooperative localization
  • Indoor location
  • localizing remote nodes without known anchors
  • location algorithms
  • odometry


Dive into the research topics of 'Algorithms for Estimating the Location of Remote Nodes Using Smartphones'. Together they form a unique fingerprint.

Cite this