Sebastian Fudickar
ABSTRACT
While indoor localization is gaining increased relevance, the comparability of the published accuracies for localization algorithms is rarely given since the metrics, node densities and the evaluation environments vary. To overcome this limitation, a simulator for indoor localization algorithms called simLoc is presented which uses prerecorded received signal strengths of two different buildings. simLoc simulates both, different path loss models and different localization algorithms. Therefore, the simulator can be used to compare different algorithms, but it can also be used to find optimal parameter settings. This was done to optimize a localization system for mobile devices equipped with a 868 MHz radio. As a result, the optimized algorithm achieves significantly lower error-distances, floor-errors, and localization-errors than the model-based RADAR system.
- P. Bahl and V. N. Padmanabhan. Radar: an in-building rf-based user location and tracking system. Proceedings IEEE INFOCOM 2000 Conference on Computer Communications Nineteenth Annual Joint Conference, 2(c):775--784, 2000.Google Scholar
Cross Ref
- Y.-C. Chen, J.-R. Chiang, H.-h. Chu, P. Huang, and A. W. Tsui. Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics. In Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '05, pages 118--125, New York, NY, USA, 2005. ACM. Google ScholarDigital Library
- M. Cypriani, P. Canalda, and F. Spies. Owlps: A self-calibrated fingerprint-based wi-fi positioning system. In S. Chessa and S. Knauth, editors, Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking, volume 309 of Communications in Computer and Information Science, pages 36--51. Springer Berlin Heidelberg, 2012.Google Scholar
- M. Cypriani, F. Lassabe, P. Canalda, and F. Spies. Open Wireless Positioning System: A Wi-Fi-Based Indoor Positioning System. In Computer and Network Technology ICCNT 2010 Second International Conference on, number January, pages 76--78. Ieee, 2010. Google ScholarDigital Library
- Frauenhofer IIS. s-net product line http://www.iis.fraunhofer.de/de/bf/ec/dk/sn/tl.html accessed October 07 2013.Google Scholar
- H. T. Friis. A Note on a Simple Transmission Formula, 1946.Google Scholar
- S. Fudickar, M. Frohberg, S. Taube, P. Mahr, and B. Schnor. An energy efficient mobile device for assisted living applications. In 2012 IEEE Online Conference on Green Communications (IEEE GreenCom'12), Sept. 2012.Google ScholarCross Ref
- T. King, S. Kopf, T. Haenselmann, C. Lubberger, and W. Effelsberg. COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses. In Online, number September in WiNTECH, pages 34--40. ACM, ACM, 2006. Google ScholarDigital Library
- S. Knauth, J. S. Hussmann, C. Jost, and A. Klapproth. Applications of the iLoc indoor localisation system in the area of assistance systems. In 5th BMI, Workshop on Behaviour Monitoring and Interpretation, pages 75--82. CEUR Workshop Proceedings, 2010.Google Scholar
- F. Leotta, M. Mecella, and F. Aloise. Pericles: a performance evaluation platform for indoor localization systems. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA '11, pages 23--30, New York, NY, USA, 2011. ACM. Google ScholarDigital Library
- A. Motley and J. Keenan. Personal Communication Radio Coverage in Buildings at 900 MHz and 1700 MHz. 24(12):763--764, 1989.Google Scholar
- A. S. Paul and E. A. Wan. RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers. In IEEE Journal of Selected Topics in Signal Processing, volume 3, pages 860--873. IEEE, 2009.Google ScholarCross Ref
- N. B. Priyantha, H. Balakrishnan, E. Demaine, and S. Teller. Mobile-Assisted Localization in Wireless Sensor Networks. In IEEE INFOCOM 2005 Twentyfifth Annual Joint Conference, Miami, FL, March 2005.Google Scholar
- D. Tapia, s. Garcia, R. Alonso, F. Guevara, J. Catalina, R. Bravo, and J. Corchado. Evaluating the n-core polaris real-time locating system in an indoor environment. In J. M. C. Rodriguez, J. B. PÃl'rez, P. Golinska, S. Giroux, and R. Corchuelo, editors, Trends in Practical Applications of Agents and Multiagent Systems, volume 157 of Advances in Intelligent and Soft Computing, pages 29--37. Springer Berlin/Heidelberg, 2012.Google Scholar
- Y. Teramoto, A. Sato, A. Asahara, and H. Tomita. Indoor positioning based on radio signal strength distribution modeling using mirror image method. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA '11, pages 15--22, New York, NY, USA, 2011. ACM. Google ScholarDigital Library
- A. Ward, A. Jones, and A. Hopper. A new location technique for the active office. IEEE Personal Communications, 4(5):42--47, 1997.Google ScholarCross Ref
- M. Youssef and A. Agrawala. The horus wlan location determination system. In Proceedings of the 3rd international conference on Mobile systems, applications, and services, MobiSys '05, pages 205--218, New York, NY, USA, 2005. ACM. Google ScholarDigital Library
Index Terms
- On the comparability of indoor localization systems' accuracy
Recommendations
A Polygonal Method for Ranging-Based Localization in an Indoor Wireless Sensor Network
In this paper, we propose an indoor localization method in a wireless sensor network based on IEEE 802.15.4 specification. The proposed method follows a ranging-based approach using not only the measurements of received signal strength (RSS) but also ...
Enhancing indoor localization accuracy of sensor-based by advance genetic algorithms
IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing ConferenceAmong the present wireless network technologies, wireless sensor is one of the most extensively applied devices. In addition, with the rapid advancement of wireless communication in recent years, Wireless Sensor Network (WSN) has become very popular ...
Indoor human localization with orientation using WiFi fingerprinting
ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and CommunicationLocalization in indoor environment poses a fundamental challenge in ubiquitous computing compared to its well-established GPS-based outdoor environment counterpart. This study investigated the feasibility of a WiFi-based indoor positioning system to ...
Comments