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Energy-efficient top-k query evaluation and maintenance in wireless sensor networks

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Abstract

Top-k query in a wireless sensor network is to identify k sensors with the highest sensor readings. Since sensors usually are powered by energy-limited batteries, a fundamental problem associated with top-k query evaluation in such a network is to maximize network lifetime, which poses great challenges due to the unique characteristics of sensor networks. In this paper, we first propose a novel filter-based algorithm for top-k query evaluation, which is able to filter out a fractional amount of data from network-wide transmission. We then develop an online algorithm for answering time-dependent top-k queries with different values of k through the dynamic maintenance of a materialized view that consists of historical top-k results. We finally conduct extensive experiments by simulations to evaluate the performance of the proposed algorithms using real sensing data sets. Experimental results show that the proposed algorithms outperform a well known existing algorithm significantly, and the network lifetime delivered by the proposed optimal quantile algorithm is at least 142 % times longer than that by an existing algorithm.

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Acknowledgments

We would like to thank Xiaojiang Ren and Wenzheng Xu for their help in experimental evaluation.

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Authors and Affiliations

  1. Research School of Computer Science, The Australian National University, Canberra, ACT, 0200, Australia

    Baichen Chen & Weifa Liang

  2. Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Jeffrey Xu Yu

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  1. Baichen Chen
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  2. Weifa Liang
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  3. Jeffrey Xu Yu
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Correspondence to Weifa Liang.

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Chen, B., Liang, W. & Yu, J.X. Energy-efficient top-k query evaluation and maintenance in wireless sensor networks. Wireless Netw 20, 591–610 (2014). https://doi.org/10.1007/s11276-013-0625-6

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  • DOI: https://doi.org/10.1007/s11276-013-0625-6

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