Paper Info
Title
Fog-Based Pub/Sub Index With Boolean Expressions in the Internet of Industrial Vehicles
Abstract
Structured publish/subscribe (pub/sub) is a promising technique adopted on kinds of vehicle applications of Internet of industrial vehicles (IoIV), which uses Boolean expressions to capture the items with thousands of different attributes, values and spatial locations, and then processes and analyzes the vast amounts of data collected to obtain users’ interests. However, existing pub/sub work with Boolean expressions either ignores spatial requirement or focuses on Euclidean space. This paper aims to fill this gap by addressing the issue of fog-based spatial-textual pub/sub problem with Boolean expressions in IoIV. A novel hybrid index called RnetBE is proposed, which exquisitely organizes traffic network structure, Boolean expressions, and spatial information of subscriptions. And RnetBE can prune huge numbers of unqualified subscriptions based on both spatial constraint and Boolean expressions, thus achieving high efficiency in indexing and matching. Moreover, range-tree deletion and orderly group processing optimization techniques are proposed to save storage space and further improve the subscription pruning efficiency. Simulation results show that RnetBE and the proposed algorithm are efficient in terms of memory consumption and matching time.
Year
DOI
Venue
2019
10.1109/TII.2018.2868720
IEEE Transactions on Industrial Informatics
Keywords
Field
DocType
Cloud computing,Edge computing,Informatics,Indexing,Optimization
Edge computing,Publication,Spatial analysis,Computer science,Search engine indexing,Theoretical computer science,Real-time computing,Euclidean space,Boolean expression,The Internet,Cloud computing
Journal
Volume
Issue
ISSN
15
3
1551-3203
Citations 
PageRank 
References 
1
0.35
0
Authors
7
Name
Order
Citations
PageRank
Yanhong Li16010.94
Zhang Wang2115.01
Rongbo Zhu332136.11
Li Guohui444776.53
Maode Ma51255163.24
Lihchyun Shu613017.32
Changyin Luo7193.35