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Efficient Spatial Keyword Query Processing in the Internet of Industrial Vehicles

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成果类型:
期刊论文
作者:
Li, Yanhong;Luo, Changyin;Zhu, Rongbo*;Chen, Yuanfang;Zeng, Huacheng
通讯作者:
Zhu, Rongbo
作者机构:
[Zhu, Rongbo; Li, Yanhong] South Cent Univ Nationalities, Coll Comp Sci, Wuhan, Hubei, Peoples R China.
[Luo, Changyin] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
[Chen, Yuanfang] Guangdong Univ Petrochem Technol, Maoming, Peoples R China.
[Zeng, Huacheng] Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA.
通讯机构:
[Zhu, Rongbo] S
South Cent Univ Nationalities, Coll Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Spatial keyword query;Internet of industrial vehicles;Wireless data broadcast;Air index
期刊:
MOBILE NETWORKS & APPLICATIONS
ISSN:
1383-469X
年:
2018
卷:
23
期:
4
页码:
864-878
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61309002, 61272497]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CZZ17003]; Youth Elite Project of State Ethnic Affairs Commission of China
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
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 g...

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