Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Unknown, Conference object English OPEN
Basiri, Anahid ; Peltola, Pekka ; Figueiredo e Silva, Pedro ; Lohan, Elena Simona ; Moore, Terry ; Hill, Chris (2015)

Indoor positioning is one of the biggest challenges of many Location Based Services (LBS), especially if the target users are pedestrians, who spend most of their time in roofed areas such as houses, offices, airports, shopping centres and in general indoors. Providing pedestrians with accurate, reliable, cheap, low power consuming and continuously available positional data inside the buildings (i.e. indoors) where GNSS signals are not usually available is difficult. Several positioning technologies can be applied as stand-alone indoor positioning technologies. They include Wireless Local Area Networks (WLAN), Bluetooth Low Energy (BLE), Ultra-Wideband (UWB), Radio Frequency Identification (RFID), Tactile Floor (TF), Ultra Sound (US) and High Sensitivity GNSS (HSGNSS). This paper evaluates the practicality and fitness-to-the-purpose of pedestrian navigation for these stand-alone positioning technologies to identify the best one for the purpose of indoor pedestrian navigation. In this regard, the most important criteria defining a suitable positioning service for pedestrian navigation are identified and prioritised. They include accuracy, availability, cost, power consumption and privacy. Each technology is evaluated according to each criterion using Analytic Hierarchy Process (AHP) and finally the combination of all weighted criteria and technologies are processed to identify the most suitable solution.
  • References (28)
    28 references, page 1 of 3

    Available: [Accessed: 11- Mar-2015].

    T. L. Saaty, The Analytic Hierarchy Process. McGraw-Hill, 1980.

    Bluetooth Technology Special Interest Group, “Bluetooth Specification.” [Online]. Available:

    [Accessed: 13-Mar-2015].

    J. DeCuir, “Introducing Bluetooth Smart: Part 1: A look at both classic and new technologies.,” IEEE Consum.

    Electron. Mag., vol. 3, no. 1, pp. 12-18, Jan. 2014.

    J. Decuir, “Introducing Bluetooth Smart: Part II: Applications and updates.,” IEEE Consum. Electron. Mag., vol. 3, no. 2, pp. 25-29, Apr. 2014.

    S. Kajioka, T. Mori, T. Uchiya, I. Takumi, and H. Matsuo, “Experiment of indoor position presumption based on RSSI of Bluetooth LE beacon,” in 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), 2014, pp.

    H. Li, “Low-Cost 3D Bluetooth Indoor Positioning with Least Square,” Wirel. Pers. Commun., vol. 78, no. 2, pp.

    1331-1344, May 2014.

  • Similar Research Results (2)
  • Metrics
    No metrics available
Share - Bookmark