Date

2010-06-30

Author

Taneja,taneja, Saurabh,saurabh
Akçamete Güngör, Aslı
Akıncı, Burcu
Garrett, James H
East, E William
Soibelman, Lucio

Metadata

Show full item record

Item Usage Stats

43
views

0
downloads

Cite This

Facility management (FM) related field activities often involve accessing and reading manuals/specifications/drawings and exchanging information about a specific building element that is being worked on among different FM personnel (Lee et al. 2009). Such information retrieval and exchange is referred to as contextual retrieval and exchange in this paper because it is contingent upon accurate knowledge of: 1) the activity (task) being performed; and 2) the location of person/object in the facility. Assisting retrieval of contextual information requires determining the granularity (i.e., accuracy) of the location information, which is needed by FM personnel. The authors identified three main requirements for determining FM personnel location information using localization technology: 1) sub-room level (2-3m) accuracy; 2) greater than 95% precision; and 3) no-line-of-sight required to deploy transmitters/receivers for localization. Three technologies were selected for evaluating their capabilities in fulfilling the requirements identified for indoor localization to support facility management related field activities: 1) Radio Frequency Identification Tags (RFID); 2) Wireless LAN (WLAN); and 3) Inertial Measurement Units (IMUs). These three localization technologies were selected based on the fact that they do not require line of sight, are scalable and low cost. The authors used a fingerprinting approach, which involves creation of a signal strength map for localization, and the k-Nearest Neighbor (kNN) algorithm for location determination. Several Experiments were carried out to evaluate, for each of these technologies, accuracy and precision. These experiments also helped in assessing the reliability of received signal strengths over two variables: 1) time; and 2) direction/orientation for the same point/location. All of the technologies have been tested on the same floor of an actively used university building, following the same path on different days. The paper concludes with the comparison of performance of the three selected technologies over the requirements identified for indoor localization.

Subject Keywords

indoor localization, fingerprinting, Indoor localization, KNN, RFID, WLAN, IMUs

URI

https://hdl.handle.net/11511/71721
http://www.engineering.nottingham.ac.uk/icccbe/proceedings/pdf/pf49.pdf

Collections

Department of Civil Engineering, Conference / Seminar