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A hierarchical binary quadtree index for spatial queries

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Abstract

An index structure adequate for broadcasting environments must consider the order of data delivery, index size, and selective tuning. This paper introduces a light-weight bit sequence grid-based spatial index, referred to as a binary quadtree, which allows for the sequential search and selective tuning of data. Then, the paper suggests a search algorithm that can efficiently search spatial objects. The results from theoretical analysis and experiments show that the proposed algorithm with the binary quadtree is fast and energy efficient in both range queries and k-nearest neighbor queries.

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Notes

  1. The average duration for getting to the next index segment is called the probe wait [10, 11].

  2. Even until recently, DSI and ESS have been a representative study of index for supporting spatial query processing in wireless broadcast environments. In this paper, performance assessment was conducted on DSS that assumed the most similar environments as the proposed technique.

  3. Each index table in the DSI and ESS has the next pointers that increase exponentially within the range of N. For example, if N = 1024, a single index table has 9 next pointers of 1, 2, 4, 8, and up to 1024.

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Acknowledgements

This paper was supported by Wonkwang university in 2017.

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Authors and Affiliations

  1. Department of Information Communication Engineering, Wonkwang University, Iksan, Chunbuk, Korea

    Kwangjin Park

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  1. Kwangjin Park
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Correspondence to Kwangjin Park.

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Park, K. A hierarchical binary quadtree index for spatial queries. Wireless Netw 25, 1913–1929 (2019). https://doi.org/10.1007/s11276-018-1661-z

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