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Periodic Query Optimization Leveraging Popularity-Based Caching in Wireless Sensor Networks for Industrial IoT Applications

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Abstract

With the rapid development of the Internet of Things (IoT), billions of smart devices should be available for sensing environment variables and reporting events periodically that may happen in certain regions, for supporting industrial applications. It is usual that contiguous queries on point-of-interests may have some region overlapping. In this setting, sensory data retrieved by recent queries may be beneficial for answering the queries forthcoming, when these data are fresh enough. To address this challenge, we propose a popularity-based caching strategy for optimizing periodic query processing. Specifically, the network region is divided using a cell-based manner, where each grid cell is abstracted as an elementary unit for the caching purpose. Fresh sensory data are cached in the memory of the sink node. The popularity of grid cells are calculated leveraging the queries conducted in recent time slots, which reflects the possibility that grid cells may be covered by the queries forthcoming. Prefetching may be performed for grid cells with a higher degree of popularity when missed in the cache. These cached sensory data are used for facilitating the query answering afterwards. The simulation results show that our approach can reduce the communication cost significantly and increase the network capability.

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Acknowledgments

This work was supported partially by the National Natural Science Foundation of China (Grant No. 61379126 and 61401107), by the Scientific Research Foundation for Returned Scholars, Ministry of Education of China, by the Educational Commission of Guangdong Province, China (Grant No. 2013KJCX0131), by 2013 Special Fund of Guangdong Higher School Talent Recruitment, and by the Fundamental Research Funds for the Central Universities (China University of Geosciences at Beijing).

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Authors and Affiliations

  1. China University of Geosciences (Beijing), Beijing, 100083, People’s Republic of China

    ZhangBing Zhou, Deng Zhao & Chu Du

  2. TELECOM SudParis, Paris, France

    ZhangBing Zhou

  3. Guangdong University of Petrochemical Technology, Mao ming, 525000, People’s Republic of China

    Xiaoling Xu & Huilin Sun

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  1. ZhangBing Zhou
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  2. Deng Zhao
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Correspondence to ZhangBing Zhou.

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Zhou, Z., Zhao, D., Xu, X. et al. Periodic Query Optimization Leveraging Popularity-Based Caching in Wireless Sensor Networks for Industrial IoT Applications. Mobile Netw Appl 20, 124–136 (2015). https://doi.org/10.1007/s11036-014-0545-4

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