Research Article
Spatial Keyword Query Processing in the Internet of Vehicles
@INPROCEEDINGS{10.1007/978-3-319-52569-3_1, author={Yanhong Li and Lei Shu and Jianjun Li and Rongbo Zhu and Yuanfang Chen}, title={Spatial Keyword Query Processing in the Internet of Vehicles}, proceedings={Industrial Networks and Intelligent Systems. Second International Conference, INISCOM 2016, Leicester, UK, October 31 -- November 1, 2016, Revised Selected Papers}, proceedings_a={INISCOM}, year={2017}, month={6}, keywords={Spatial keyword queries Internet of vehicles Wireless data broadcast}, doi={10.1007/978-3-319-52569-3_1} }- Yanhong Li
Lei Shu
Jianjun Li
Rongbo Zhu
Yuanfang Chen
Year: 2017
Spatial Keyword Query Processing in the Internet of Vehicles
INISCOM
Springer
DOI: 10.1007/978-3-319-52569-3_1
Abstract
This paper takes the first step to address the issue of processing Spatial Keyword Queries (SKQ) in the Internet of Vehicles (IoV) environment. As a key technique to obtain location-aware information, the Spatial Keyword Query (SKQ) is proposed. It can search qualified objects based on both keywords and location information. In the IoV, with the popularity of the GPS-enabled vehicle-mounted devices, location-based information is extensively available, and this also enables location-aware queries with special keywords to improve user experience. In this study, we focus on Boolean kNN Queries. And a Spatial Keyword query index for IoV environment (SKIV) is proposed as an important part of the algorithm design to be used to improve the performance of this type of SKQ. Extensive simulation is conducted to demonstrate the efficiency of the SKIV based query processing algorithm.
