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Basiri, Anahid; Peltola, Pekka; Figueiredo e Silva, Pedro; Lohan, Elena Simona; Moore, Terry; Hill, Chris (2015)
Languages: English
Types: Unknown
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Available: https://www.abiresearch.com/marketresearch/service/location-enabled-services/. [Accessed: 11- Mar-2015].
    • T. L. Saaty, The Analytic Hierarchy Process. McGraw-Hill, 1980.
    • Bluetooth Technology Special Interest Group, “Bluetooth Specification.” [Online]. Available: https://www.bluetooth.org/en-us/specification/adoptedspecifications?_ga=1.82022230.1963793627.1424960245.
    • [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.
    • J. Talvitie, E. S. Lohan, and M. Renfors, “The effect of coverage gaps and measurement inaccuracies in fingerprinting based indoor localization,” in International Conference on Localization and GNSS 2014 (ICL-GNSS 2014), 2014, pp. 1-6.
    • V. Moghtadaiee, A. G. Dempster, and S. Lim, “Indoor localization using FM radio signals: A fingerprinting approach,” in 2011 International Conference on Indoor Positioning and Indoor Navigation, 2011, pp. 1-7.
    • M. Pelosi, G. F. Pedersen, F. Della Rosa, and J. Nurmi, “The role of the propagation environment in RSS-based indoor positioning using mass market devices,” in 2012 Loughborough Antennas & Propagation Conference (LAPC), 2012, pp. 1-4.
    • Lohan, R. Piche, and M. Renfors, “Statistical path loss parameter estimation and positioning using RSS measurements,” in 2012 Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012, pp. 1-8.
    • M. Skulich, “Utilisation of UWB in the mining excavation collapse scenario,” no. 11.
    • V. Poor, and Z. Sahinoglu, “Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks,” IEEE Signal Process. Mag., vol. 22, no. 4, pp.
    • 70-84, Jul. 2005.
    • R. Mautz, “Indoor positioning technologies,” ETH Zurich, 2012.
    • September, pp. 21-23, 2011.
    • M. Fujimoto, E. Nakamori, A. Inada, Y. Oda, and T. Wada, “A Broad-Typed Multi-Sensing-Range Method for Indoor Position Estimation of Passive RFID Tags,” no. September, pp. 21-23, 2011.
    • F. Seco, C. Plagemann, A. R. Jimenez, and W. Burgard, “Improving RFID-based indoor positioning accuracy using Gaussian processes,” in 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010, pp. 1-8.
    • R. K. Pateriya and S. Sharma, “The Evolution of RFID Security and Privacy: A Research Survey,” in 2011 International Conference on Communication Systems and Network Technologies, 2011, pp. 115-119.
    • Propag. Lett., vol. PP, no. 99, pp. 1-1, 2015.
    • Balakrishnan, T. Supervisor, and A. C. Smith, “The Cricket Indoor Location System,” no. 2001, 2005.
    • P. Misra, S. Jha, and D. Ostry, “Improving the coverage range of ultrasound-based localization systems,” in 2011 IEEE Wireless Communications and Networking Conference, 2011, pp. 605-610.
    • L. Middleton, A. A. Buss, A. Bazin, and M. S. Nixon, “A Floor Sensor System for Gait Recognition,” in Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), 2005, pp. 171-176.
    • A. Basiri, E. S. Lohan, P. Peltola, C. Hill, and T. Moore, “Overview of positioning technologies from fitness-topurpose point of view,” in International Conference on Localization and GNSS 2014 (ICL-GNSS 2014), 2014, pp.
    • D. Skoumetou, G. Seco-Granados, and E. S. Lohan, “User perception on Location Based Services: The more you know, the less you are willing to pay?,” in International Conference on Localization and GNSS 2014 (ICL-GNSS 2014), 2014, pp. 1-6.
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