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Van Haute, T., De Poorter, E., Crombez, P., Lemic, F., Handziski, V., Wirström, N., . . . Moerman, I. (2016). Performance Analysis of Multiple Indoor Positioning Systems in a Healthcare Environment (13ed.). International Journal of Health Geographics, 15(7)
Open this publication in new window or tab >>Performance Analysis of Multiple Indoor Positioning Systems in a Healthcare Environment
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2016 (English)In: International Journal of Health Geographics, ISSN 1476-072X, E-ISSN 1476-072X, Vol. 15, no 7Article in journal (Refereed) Published
Abstract [en]

Background: The combination of an aging population and nursing staff shortages implies the need for more advanced systems in the healthcare industry. Many key enablers for the optimization of healthcare systems require provisioning of location awareness for patients (e.g. with dementia), nurses, doctors, assets, etc. Therefore, many Indoor Positioning Systems(IPSs) will be indispensable in healthcare systems. However, although many IPSs have been proposed in literature, most of these have been evaluated in non-representative environments such as office buildings rather than in a hospital. Methods: To remedy this, the paper evaluates the performance of existing IPSs in an operational modern healthcare environment: the “Sint-Jozefs kliniek Izegem” hospital in Belgium. The evaluation (data-collecting & data-processing) is executed using a standardized methodology and evaluates the point accuracy, room accuracy and latency of multiple IPSs. To evaluate the solutions, the position of a stationary device was requested at 73 evaluation locations. By using the same evaluation locations for all IPSs the performance of all systems could objectively be compared. Results: Several trends can be identified such as the fact that Wi-Fi based fingerprinting solutions have the best accuracy result (point accuracy of 1.21 m and room accuracy of 98 %) however it requires calibration before use and needs 5.43 s to estimate the location. On the other hand, proximity based solutions (based on sensor nodes) are significantly cheaper to install, do not require calibration and still obtain acceptable room accuracy results. Conclusion: As a conclusion of this paper, Wi-Fi based solutions have the most potential for an indoor positioning service in case when accuracy is the most important metric. Applying the fingerprinting approach with an anchor installed in every two rooms is the preferred solution for a hospital environment.

Keywords
Indoor localization, Healthcare, Hospital, RSSI, ToA, Fingerprinting
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24503 (URN)10.1186/s12942-016-0034-z (DOI)2-s2.0-84957072424 (Scopus ID)
Projects
Evarilos
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-02-07Bibliographically approved
Behboodi, A., Wirström, N., Lemic, F., Voigt, T. & Wolisz, A. (2015). Interference Effect on Localization Solutions: Signal Feature Perspective (10ed.). In: 2015 IEEE 81st Vehicular Technology Conference (VTC Spring): . Paper presented at 81st IEEE Vehicular Technology Conference (VTC Spring 2015), May 11-14, 2015, Glasgow, UK. , Article ID 7145885.
Open this publication in new window or tab >>Interference Effect on Localization Solutions: Signal Feature Perspective
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2015 (English)In: 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015, 10, article id 7145885Conference paper, Published paper (Refereed)
Abstract [en]

We study the effect of interference on localization algorithms through the study of the interference effect on signal features that are used for localization. Particularly, the effect of interference on packet-based Received Signal Strength Indicator (RSSI), reported by IEEE 802.11 and IEEE 802.15.4 technologies, and on Time of Flight (ToF), reported by IEEE 802.15.4 technology, is studied using both theoretical discussions and experimental verifications. As for the RSSI values, using an information theoretic formulation, we distinguish three operational regimes and we show that the RSSI values, in dBm, remain unchanged in the noise-limited regime, increase almost linearly with interference power in dBm in the interference-limited regime and cannot be obtained due to packet loss in the collision regime. The maximum observable RSSI variation is dependent on the transmission rate and Signal to Noise Ratio (SNR). We also show that ToF is, interestingly, decreased under interference which is caused in the symbol synchronization procedure at the receiver. After providing the experimental results, we discuss how the localization algorithms are affected by interference.

Series
IEEE Vehicular Technology Conference, ISSN 1550-2252
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24435 (URN)10.1109/VTCSpring.2015.7145885 (DOI)2-s2.0-84940399264 (Scopus ID)978-1-4799-8088-8 (ISBN)
Conference
81st IEEE Vehicular Technology Conference (VTC Spring 2015), May 11-14, 2015, Glasgow, UK
Projects
EVARILOS
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-02-04Bibliographically approved
Wirström, N., Behboodi, A., Lemic, F., Wolisz, A. & Voigt, T. (2015). Localization using Anonymous Measurements (10ed.). In: 2015 International Conference on Distributed Computing in Sensor Systems: . Paper presented at 11th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2015), June 10-12, 2015, Fortaleza, Brazil (pp. 137-146). , Article ID 7165032.
Open this publication in new window or tab >>Localization using Anonymous Measurements
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2015 (English)In: 2015 International Conference on Distributed Computing in Sensor Systems, 2015, 10, p. 137-146, article id 7165032Conference paper, Published paper (Refereed)
Abstract [en]

Range-based IEEE 802.15.4 localization systems currently require relatively high anchor density for indoor deployments. It can therefore be beneficial to use external sources of transmission as additional anchors. We present methods for using WiFi beacons to improve localization accuracy of a range-based IEEE 802.15.4 localization system in cases where only two IEEE 802.15.4 anchor nodes are available. We do this by identifying WiFi beacons from RSSI traces that we dynamically sample online, and applying fingerprinting and range-based methods using the RSSI values of the identified beacons. However, because the data of the WiFi traffic is not decodable by the IEEE 802.15.4 devices, these RSSI measurements lack identifiers that can associate them to specific WiFi Access Points (APs). Therefore, novel methods are required for both fingerprinting and range-based approaches to allow for these additional WiFi APs to be used as anchors. We show by using real-world measurements that our beacon identification method gives a false-positive rate of only 3%, and that if the range measurements to the IEEE 802.15.4 anchors are relatively accurate, with a standard deviation of 1 and 3 m, a localization accuracy improvement of 47% and 24% can be gained, respectively.

Keywords
Anonymous measurements, Fingerprinting, Localization, Range-based localization
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24434 (URN)10.1109/DCOSS.2015.23 (DOI)2-s2.0-84945950544 (Scopus ID)978-1-4799-8856-3 (ISBN)
Conference
11th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2015), June 10-12, 2015, Fortaleza, Brazil
Projects
EVARILOS
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-02-04Bibliographically approved
Van Haute, T., De Poorter, E., Lemic, F., Handziski, V., Wirström, N., Voigt, T., . . . Moerman, I. (2015). Platform for Benchmarking of RF-based Indoor Localization Solutions (6ed.). IEEE Communications Magazine, 53(9), 126-133
Open this publication in new window or tab >>Platform for Benchmarking of RF-based Indoor Localization Solutions
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2015 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 53, no 9, p. 126-133Article in journal (Refereed) Published
Abstract [en]

Over the last years, the number of indoor localization solutions has grown exponentially and a wide variety of different technologies and approaches is being explored. Unfortunately, there is currently no established standardized evaluation method for comparing their performance. As a result, each solution is evaluated in a different environment using proprietary evaluation metrics. Consequently, it is currently extremely hard to objectively compare the performance of multiple localization solutions with each other. To address the problem, we present the EVARILOS Benchmarking Platform, which enables an automated evaluation and comparison of multiple solutions in different environments and using multiple evaluation metrics. We propose a testbed independent benchmarking platform, combined with multiple testbed dependent plug-ins for executing experiments and storing performance results. The platform implements the standardized evaluation method described in the EVARILOS Benchmarking Handbook, which is aligned with the upcoming ISO/IEC 18305 standard “Test and Evaluation of Localization and Tracking Systems”. The platform and the plugins can be used in real-time on existing wireless testbed facilities, while also supporting a remote offline evaluation method using precollected data traces. Using these facilities, and by analyzing and comparing the performance of three different localization solutions, we demonstrate the need for objective evaluation methods that consider multiple evaluation criteria in different environments.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24505 (URN)10.1109/MCOM.2015.7263356 (DOI)2-s2.0-84957052677 (Scopus ID)
Projects
Evarilos
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-02-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9314-3980

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