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Mobile Networks and Applications

, Volume 23, Issue 4, pp 864–878 | Cite as

Efficient Spatial Keyword Query Processing in the Internet of Industrial Vehicles

  • Yanhong Li
  • Changyin Luo
  • Rongbo Zhu
  • Yuanfang Chen
  • Huacheng Zeng
Article

Abstract

With the development of the Internet of Things (IoT), the industrial vehicle ad hoc networks are revolving into the Internet of Industrial Vehicles (IoIV). Due to the popularity of the geographical devices used on the Industrial vehicle, location-based information is extensively available in IoIV. This development calls for spatial keyword queries (SKQ), which takes into account both the locations and textual descriptions of objects. This paper addresses the issue of processing SKQ in IoIV environment, which focuses on two types of SKQ queries, namely Boolean kNN Queries and Top-k Queries. A general air index called Extended Spatial Keyword query index in IoIV environment (ESKIV) is proposed, which supports both network space pruning and textual pruning simultaneously. Based on ESKIV, efficient algorithms are designed to deal with these two types of SKQ respectively. The proposed ESKIV also can be used to deal with other kinds of queries, such as range SKQ. Finally, extensive simulations are conducted to demonstrate the efficiency of our ESKIV index and the corresponding query processing algorithms.

Keywords

Spatial keyword query Internet of industrial vehicles Wireless data broadcast Air index 

Notes

Acknowledgments

This work is supported by National Science Foundation of China (No.61309002, No.61272497), Fundamental Research Funds for the Central Universities (No.CZZ17003) and Youth Elite Project of State Ethnic Affairs Commission of China.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.College of Computer ScienceSouth-Central University for NationalitiesWuhanChina
  2. 2.School of ComputerCentral China Normal UniversityWuhanChina
  3. 3.Guangdong University of Petrochemical TechnologyMaomingChina
  4. 4.Department of Electrical and Computer EngineeringUniversity of LouisvilleLouisvilleUSA

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