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An Efficient Kinetic Range Query for One Dimensional Axis Parallel Segments

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  • T. Hema

    (Anna University, Department of Computer Science and Engineering, Chennai, India)

  • K. S. Easwarakumar

    (Anna University, Department of Computer Science and Engineering, Chennai, India)

Abstract

We present a kinetic data structure named Kinetic Interval Graph (KI-Graph) for performing efficient range search on moving one dimensional axis-parallel segments. This finds applications in Artificial Intelligence such as robotic motion. The structure requires O(n) storage. The time taken per update when a critical event occurs is O (1) thereby improving responsiveness when compared to the kinetic segment trees, while the overall updates across all segments at a time instance is at most n/2. Also, range query is performed efficiently in θ (k) time, where k segments are reported.

Suggested Citation

  • T. Hema & K. S. Easwarakumar, 2018. "An Efficient Kinetic Range Query for One Dimensional Axis Parallel Segments," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 14(1), pages 48-62, January.
    • Handle: RePEc:igg:jiit00:v:14:y:2018:i:1:p:48-62
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