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A Novel Hash-Based Streaming Scheme for Energy Efficient Full-Text Search in Wireless Data Broadcast

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6587))

Abstract

Full-Text Search is one of the most important and popular query types in document retrieval systems. With the development of The Fourth Generation Wireless Network (4G), wireless data broadcast has gained a lot of interest because of its scalability, flexibility, and energy efficiencies for wireless mobile computing. How to apply full-text search to documents transmitted through wireless communications is thus a research topic of interest. In this paper, we propose a novel data streaming scheme (named Basic-Hash) with hash-based indexing and inverted list techniques to facilitate energy and latency efficient full-text search in wireless data broadcast. We are the first work utilizing hash technology for this problem, which takes much less access latency and tuning time comparing to the previous literature. We further extend the proposed scheme by merging the hashed word indices in order to reduce the total access latency (named Merged-Hash). An information retrieval protocol is developed to cope with these two schemes. The performances of Basic-Hash and Merged-Hash are examined both theoretically and empirically. Simulation results prove their efficiencies with respect to both energy consumption and access latency.

This work is supported by NSF grant CCF-0829993 and CCF-0514796.

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Yang, K., Shi, Y., Wu, W., Gao, X., Zhong, J. (2011). A Novel Hash-Based Streaming Scheme for Energy Efficient Full-Text Search in Wireless Data Broadcast. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20149-3_28

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  • DOI: https://doi.org/10.1007/978-3-642-20149-3_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20148-6

  • Online ISBN: 978-3-642-20149-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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