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A connectivity index for moving objects in an indoor cellular space

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Abstract

With the currently available indoor positioning devices such as RFID, Bluetooth and WI-FI, the locations of moving objects constitute an important foundation for a variety of applications such as the tracking of moving objects, security and way finding. Many studies have proven that most individuals spend their lives in indoor environments. Therefore, in this paper, we propose a new index structure for moving objects in cellular space. The index is based on the connectivity (adjacency) between the indoor environment cells and can effectively respond to the spatial indoor queries and enable efficient updates of the location of a moving object in indoor space. An empirical performance study suggests that the proposed indoor-tree in terms of measurements and performance is effective, efficient and robust.

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Acknowledgments

The source of our implementations can be downloaded from the following http://users.monash.edu.au/~sultana/indoortree.rar.

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Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, Clayton, Australia

    Sultan Alamri, David Taniar & Haidar Al-Khalidi

  2. Computer Engineering, Kuwait University, Safat, Kuwait

    Maytham Safar

Authors
  1. Sultan Alamri
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  2. David Taniar
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  3. Maytham Safar
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  4. Haidar Al-Khalidi
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Correspondence to Sultan Alamri.

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Alamri, S., Taniar, D., Safar, M. et al. A connectivity index for moving objects in an indoor cellular space. Pers Ubiquit Comput 18, 287–301 (2014). https://doi.org/10.1007/s00779-013-0645-3

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