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An improved searching algorithm for indoor trajectory reconstruction

Author

Listed:
  • Min Li
  • Jingjing Fu
  • Yanfang Zhang
  • Zhujun Zhang
  • Siye Wang
  • Huafeng Kong
  • Rui Mao

Abstract

Trajectory reconstruction of mobile targets in large-scale infrastructure enables events in a range of applications, such as regional security, tourism, and healthcare, to be visualized. However, indoor environmental factors complicate the reconstruction process, usually resulting in reduced efficiency. In this article, we propose a searching algorithm that aims at a reasonable trajectory reconstruction scheme. The algorithm is developed based on the branch-and-bound method, which incorporates both depth-first search and breadth-first search so that a fast trajectory reconstruction on a topological map becomes viable. Experimental results demonstrated that the considered strategies are effective in accelerating reconstruction through a performance evaluation against current approaches for trajectory reconstruction.

Suggested Citation

  • Min Li & Jingjing Fu & Yanfang Zhang & Zhujun Zhang & Siye Wang & Huafeng Kong & Rui Mao, 2017. "An improved searching algorithm for indoor trajectory reconstruction," International Journal of Distributed Sensor Networks, , vol. 13(11), pages 15501477177, November.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:11:p:1550147717743697
    DOI: 10.1177/1550147717743697
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    References listed on IDEAS

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    1. Peng Gao & Weiren Shi & Wei Zhou & Hongbing Li & Xiaogang Wang, 2013. "A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 949285-9492, March.
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