Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150998
Title: Fog-based pub/sub index with Boolean expressions in the internet of industrial vehicles
Authors: Li, Yanhong
Zhang, Wang
Zhu, Rongbo
Li, Guohui
Ma, Maode
Shu, Lihchyun
Luo, Changyin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Li, Y., Zhang, W., Zhu, R., Li, G., Ma, M., Shu, L. & Luo, C. (2018). Fog-based pub/sub index with Boolean expressions in the internet of industrial vehicles. IEEE Transactions On Industrial Informatics, 15(3), 1629-1642. https://dx.doi.org/10.1109/TII.2018.2868720
Journal: IEEE Transactions on Industrial Informatics 
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.
URI: https://hdl.handle.net/10356/150998
ISSN: 1551-3203
DOI: 10.1109/TII.2018.2868720
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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