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MLOC: A Multiple Service Fusion Self-Organizing Geolocation System

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Advanced Technologies in Ad Hoc and Sensor Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 295))

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Abstract

Self-organizing geolocation system does not depend on infrastructure, can build coordinate system automatically and calculate reference point coordinates position, has very high application value in emergency situations. Geolocation service alone often cannot meet all application requirements, while multiple service fusion can improve the practicability of the system. In this paper, we design a multiple service fusion self-organizing geolocation system–MLOC, in addition to the geolocation service, it can also provide voice communication, short message communication and elevation measurement services. This paper deeply analyzes the challenges for multiple service fusion mechanism and self-organization accurate geolocation mechanism; design an unpreemptible hierarchical scheduling mechanism and TDMA/CSMA time slot allocation strategy to solve the problem of multiple services fusion; propose a self-organizing accurate geolocation mechanism based on maximum likelihood centroid localization algorithm; build up a set of prototype MLOC system and verify the MLOC solution through the actual test.

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References

  1. He J, Geng Y, Wan Y, Li S, Pahlavan K (2013) A cyber physical test-bed for virtualization of RF access environment for body sensor network, p 1

    Google Scholar 

  2. He J, Li S, Pahlavan K, Wang Q (2012) A real-time testbed for performance evaluation of indoor TOA location system. In: IEEE international conference on communications (ICC), Ottawa, Canada, 10–15 June 2012

    Google Scholar 

  3. Orr JA, Cyganski D (2005) Fire fighter location tracking and status monitoring performance requirements. Technology report. Electrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester

    Google Scholar 

  4. Zhongmin P, Zhidong D, Xu S, Xu X (2009) Anchor-free localization method for mobile targets in coal mine wireless sensor networks. Sensors 9(4):2836–2850

    Article  Google Scholar 

  5. Hui Q, Stephen W (2006) Anchor-free localization in rapidly-deployed wireless sensor networks. In: 2006 IEEE international conference on mobile ad hoc and sensor systems, MASS 2006, pp 627–632

    Google Scholar 

  6. Priyanrha N, Balakrishnan H, Demaine E et al (2003) Anchor-free distributed localization in sensor net-works. Technical Report TR-892, MIT laboratory for computer science, April 2003

    Google Scholar 

  7. Fang L, Du W, Ning P (2005) A beacon-less location discov-ery scheme for wireless sensor networks. In: IEEE conference on computer communications (INFOCOM)

    Google Scholar 

  8. Savarese C, Rabaey J, Beutel J (2001) Locationing in distributed ad hoc wireless sensor networks. In: Proceeding of ICASSP, 2037–2040 May 2001

    Google Scholar 

  9. nanoLOC TRX Transceiver (NA5TR1) Datasheet, Nanotron

    Google Scholar 

  10. IEEE 802.15.4a[OL]. http://www.ieee802.org/15/pub/TG4a.html

  11. He J, Wang Q, Zhang Q, Yu Y, Liu B (2013) Modelling ranging error of indoor TOA-based position system based on receive signal strength. Int J Sens Netw 13(3):162–172

    Google Scholar 

  12. He J, Wang Q, Yong F (2009) A mass-target real time localization system. In: International conference on wireless communications and signal processing, WCSP 2009

    Google Scholar 

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Correspondence to Jie He .

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© 2014 Springer-Verlag Berlin Heidelberg

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Xu, C., He, J., Liu, F., Lv, M., Wang, Q. (2014). MLOC: A Multiple Service Fusion Self-Organizing Geolocation System. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-54174-2_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54173-5

  • Online ISBN: 978-3-642-54174-2

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