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EDIPS: an Easy to Deploy Indoor Positioning System to support loosely coupled mobile work

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Abstract

Loosely coupled mobile work is characterized by nomadic workers collaborating in sporadically and on-demand ways. Supporting nomadic workers’ interactions requires knowing the location of the potential collaborator; therefore, indoor/outdoor positioning systems play a key role. Locating persons in outdoor environments is well addressed by Global Positioning Systems (GPS); however, for the indoor scenario, the solution is not so clear. Although several proposals for indoor positioning have been reported in the literature, most of them demand important setup efforts. This article presents the Easy to Deploy Indoor Positioning System (EDIPS), a WiFi-based system able to support the typical location requirements involved in loosely coupled mobile work. EDIPS is aimed for fast deployment and real-time operations rather than for location accuracy. The system was preliminary evaluated as a support for locating medical interns’ in a simulated hospital. The results obtained indicate the solution is able to locate nomadic workers in an indoor scenario, with enough accuracy to support loosely coupled mobile work, while requiring minimal setup effort.

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References

  1. Aldunate R, Ochoa SF, Pena-Mora F, Nussbaum M (2006) Robust mobile ad hoc space for collaboration to support disaster relief efforts involving critical physical infrastructure. ASCE J Comp Civil Eng 20(1):13–27

    Article  Google Scholar 

  2. An X, Venkatesha Prasad R, Wang J, Niemegeers I (2006) OPT: online person tracking system for context-awareness in wireless personal network. In: Proceedings of REALMAN’06, ACM Press, Florence, pp 119–121

  3. Bahl P, Padmanabhan VN (2000) RADAR: an in-building RF-based user location and tracking system. In: Proceedings of INFOCOM′00, pp 775–784

  4. Becker C, Durr F (2005) On location models for ubiquitous computing. Pers Ubiquit Comput 9:20–31

    Article  Google Scholar 

  5. Bortnikov E, Cidon I, Keidar I (2007) Nomadic service assignment. IEEE Trans Mob Comput 6(8):915–928

    Article  Google Scholar 

  6. Bravo J, Hervás R, Sánchez I, Chavira G, Nava S (2006) Visualization services in a conference context: an approach by RFID technology. J Univers Comput Sci 12(3):270–283

    Google Scholar 

  7. Brumitt B, Meyers B, Krumm J, Kern A, Shafer S (2000) Easyliving: technologies for intelligent environments. LNCS 1927, pp 97–119

  8. Casas R, Cuartielles D, Marco A, Gracia HJ, Falc JL (2007) Hidden issues in deploying an indoor location system. IEEE Pervasive Comput 6(2):62–69

    Article  Google Scholar 

  9. Castro LA, Favela J (2008) Reducing the uncertainty on location estimation of mobile users to support hospital work. IEEE Trans Syst Man Cybern C Appl Rev 38(6):861–866

    Article  Google Scholar 

  10. Chavira G, Bravo J, Nava-Diaz S, Rolón J (2010) PICTAC: a model for perceiving touch interaction through tagging context. J Univers Comput Sci 16(12):1577–1591

    Google Scholar 

  11. Chen JC, Wang YC, Maa CS, Chen JT (2006) Network-side mobile position location using factor graphs. IEEE Trans Wireless Commun 5(10):46–52

    Google Scholar 

  12. Cybernet Interactive (2010) Firefly motion capture system, http://www.cybernet.com/interactive/firefly/index.html. Accessed Nov 2010

  13. Dutta S, Mia I (eds) (2009) The global information technology report 2008–2009: mobility in a networked world. World Economic Forum & INSEAD

  14. Ekahau Inc. (2009) Real time location system (RTLS) overview. http://www.ekahau.com/products/real-time-location-system/overview.html. Accessed Nov 2010

  15. Ekahau Inc. (2009) Wi-Fi RTLS: the myths vs. the facts http://www.ekahau.com/images/stories/products/ekahau_myth_vs_facts.pdf. Accessed Nov 2010

  16. Gu Y, Lo A (2009) A Survey of indoor positioning systems for wireless personal networks. IEEE Commun Surveys & Tutorials 11(1):13–32

    Article  Google Scholar 

  17. Herskovic V, Ochoa SF, Pino JA, Neyem A (2008) General requirements to design mobile shared workspaces. In: Proceedings of CSCWD’08. IEEE Press, pp 582–587

  18. Hervás R, Bravo J, Fontecha J (2010) A context model based on ontological languages: a proposal for information visualization. J Univers Comput Sci 16(12):1539–1555

    Google Scholar 

  19. Hightower J, Borriello G (2001) Location systems for ubiquitous computing. IEEE Comput 34(8):57–66

    Google Scholar 

  20. Kaemarungsi K, Krishnamurthy P (2004) Properties of indoor received signal strength for WLAN location fingerprinting. In: Proceedings 1st annual international conference on mobile and ubiquitous systems (MobiQuitous’04), Boston, pp 14–23

  21. King T, Kopf S, Haenselmann T, Lubberger C, Effelsberg W (2006) COMPASS: a probabilistic indoor positioning system based on 802.11 and digital compasses. In: Proceedings of the first ACM international workshop on wireless network testbeds, experimental evaluation and characterization (WiNTECH), Los Angeles

  22. Li Y, Landay JA (2006) Exploring activity-based ubiquitous computing: interaction styles, models and tool support. In: Proceedings of CHI’06, Montreal

  23. Liu H, Darabi H, Banerjee P, Liu J (2007) Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybern C Appl Rev 37(6):1067–1080

    Article  Google Scholar 

  24. López-de-Ipiña D, Díaz-de-Sarralde I, García-Zubia J (2010) An ambient assisted living platform integrating RFID data-on-tag care annotations and twitter. J Univers Comput Sci 16(12):1521–1538

    Google Scholar 

  25. Michel J, Christmann M, Fiegert M, Gulden P, Vossiek M (2006) Multisensor based indoor vehicle localization system for production and logistic. In: Proceedings IEEE international conference on multi-sensor fusion and integration for intelligent systems, Heidelberg, pp 553–558

  26. Niculescu D (2004) Positioning in ad hoc sensor networks. IEEE Netw Mag 18(4):24–29

    Article  MathSciNet  Google Scholar 

  27. Northen Digital Inc. (2010) Optotrak http://www.ndigital.com. Accessed Nov 2010

  28. Ochoa SF, Bravo G, Pino J, Rodriguez JF (2011) Coordinating loosely-coupled work in construction inspection activities. Group Decision and Negotiation, In press (to appear in 2011)

  29. Pinelle D, Dyck J, Gutwin C (2003) Aligning work practices and mobile technologies: groupware design for loosely coupled mobile groups. In: Proceedings of Mobile HCI, Springer, pp 177–192

  30. Rodriguez M, Pece JP, Escudero CJ (2005) In-building location using bluetooth. In: Proceedings of IWWAN’05

  31. Rodríguez-Covili JF, Ochoa SF, Pino JA, Messeguer R, Medina E, Royo D (2010) HLMP API: a software library to support the development of mobile collaborative applications. In: Proceedings of CSCWD’10. IEEE Press, Shanghai, pp 479–484

  32. Ruiz-Lopez T, Garrido JL, Benghazi K, Chung L, Noguera M (2010) A survey on indoor positioning systems: foreseeing a quality design. In: Proceedings of the international symposium on distributed computing and artificial intelligence, Valencia, pp 374–381

  33. Tentori M, Favela J (2008) Activity-aware computing for healthcare. IEEE Pervasive Comput 7(2):51–57

    Article  Google Scholar 

  34. Valdivia R, Nussbaum M, Ochoa SF (2009) Modeling a collaborative answer negotiation activity using IMS-based learning design. IEEE Trans Education 52(3):375–384

    Article  Google Scholar 

  35. Vossiek M, Wiebking L, Gulden P, Wiehardt J, Hoffmann C, Heide P (2003) Wireless local positioning. IEEE Microwave Mag 4(4):77–86

    Article  Google Scholar 

  36. Want R, Hopper A, Falcao V, Gibbons J (1992) The active badge location system. ACM Trans Inf Syst 10(1):91–102

    Article  Google Scholar 

  37. Weissman Z (2010) Indoor location. White paper. Tadlys Ltd. http://www.tadlys.co.il/Pages/Downloads_content.asp?intGlobalId=2. Accessed Nov 2010

  38. Zebra Enterprise Solutions (2007) RTLS equipment control. http://www.multisystems.com/pdf_lib/ds_rtls_equipment_control.pdf. Accessed Nov 2010

  39. Youssef M, Agrawala A (2004) On the optimality of WLAN location determination systems. In: Proceedings of the communication networks and distributed systems modeling and simulation conference

  40. Youssef M, Agrawala A (2005) The Horus WLAN location determination system. In: Proceedings of MobiSys’05, ACM Press, pp 205–218

  41. Yuan Y, Zheng W (2009) Mobile task characteristics and the needs for mobile work support: a comparison between mobile knowledge workers and field workers. In: Proceedings of the 8th International Conference on Mobile Business, IEEE Press, pp 7–11

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Acknowledgments

This work was partially supported by Fondecyt (Chile), grant No 1110241, LACCIR grant R1210LAC002, and Proyecto Enlace VID 2010 (University of Chile), Grant ENL 10/10.

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Correspondence to Sergio F. Ochoa.

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Vera, R., Ochoa, S.F. & Aldunate, R.G. EDIPS: an Easy to Deploy Indoor Positioning System to support loosely coupled mobile work. Pers Ubiquit Comput 15, 365–376 (2011). https://doi.org/10.1007/s00779-010-0357-x

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  • DOI: https://doi.org/10.1007/s00779-010-0357-x

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