A multi-layer Internet of things database schema for online-to-offline systems

H. Cai, S. Luan, L. Jiang, Nazaraf Shah, Raymond Farmer, Kuo-Ming Chao

  • 1 Citations

Abstract

Due to the widespread usage of Internet of things devices in online-to-offline businesses, a huge volume of data from heterogeneous data sources are collected and transferred to the data processing components in online-to-offline systems. This leads to increased complexity in data storage and querying, especially for spatial–temporal data processing in online-to-offline systems. In this article, first, we design a multi-layer Internet of things database schema to meet the diverse requirements through fusing spatial data with texts, images, and videos transferred from the sensors of the Internet of things networks. The proposed multi-layer Internet of things database schema includes logical nodes, geography nodes, storage nodes, and application nodes. These data nodes cooperate with each other to facilitate the data storing, indexing, and querying. Second, a searching algorithm is designed based on pruning strategy. The complexity of the algorithm is also analyzed. Finally, the multi-layer Internet of things database schema and its application are illustrated in a smart city construction project in Shanghai, China, recommending available charging points to the customers who need to charge their electric energy–driven cars. Publisher statement: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Original languageEnglish
Article number1550147716664248
JournalInternational Journal of Distributed Sensor Networks
Volume12
Issue number8
DOIs
StatePublished - 19 Aug 2016

Fingerprint

Internet of things
Electric charge
Railroad cars
Sensors
Industry

Keywords

  • Spatial data
  • Internet of things application
  • data storage
  • query processing
  • multi-layer Internet of things database schema

Cite this

A multi-layer Internet of things database schema for online-to-offline systems. / Cai, H.; Luan, S.; Jiang, L.; Shah, Nazaraf; Farmer, Raymond; Chao, Kuo-Ming.

In: International Journal of Distributed Sensor Networks, Vol. 12, No. 8, 1550147716664248, 19.08.2016.

Research output: Contribution to journalArticle

Cai, H.; Luan, S.; Jiang, L.; Shah, Nazaraf; Farmer, Raymond; Chao, Kuo-Ming / A multi-layer Internet of things database schema for online-to-offline systems.

In: International Journal of Distributed Sensor Networks, Vol. 12, No. 8, 1550147716664248, 19.08.2016.

Research output: Contribution to journalArticle

@article{1f708cf5a9494a4f838cc29df076a55b,
title = "A multi-layer Internet of things database schema for online-to-offline systems",
abstract = "Due to the widespread usage of Internet of things devices in online-to-offline businesses, a huge volume of data from heterogeneous data sources are collected and transferred to the data processing components in online-to-offline systems. This leads to increased complexity in data storage and querying, especially for spatial–temporal data processing in online-to-offline systems. In this article, first, we design a multi-layer Internet of things database schema to meet the diverse requirements through fusing spatial data with texts, images, and videos transferred from the sensors of the Internet of things networks. The proposed multi-layer Internet of things database schema includes logical nodes, geography nodes, storage nodes, and application nodes. These data nodes cooperate with each other to facilitate the data storing, indexing, and querying. Second, a searching algorithm is designed based on pruning strategy. The complexity of the algorithm is also analyzed. Finally, the multi-layer Internet of things database schema and its application are illustrated in a smart city construction project in Shanghai, China, recommending available charging points to the customers who need to charge their electric energy–driven cars. Publisher statement: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).",
keywords = "Spatial data, Internet of things application, data storage, query processing, multi-layer Internet of things database schema",
author = "H. Cai and S. Luan and L. Jiang and Nazaraf Shah and Raymond Farmer and Kuo-Ming Chao",
note = "This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).",
year = "2016",
month = "8",
doi = "10.1177/1550147716664248",
volume = "12",
journal = "International Journal of Distributed Sensor Networks",
issn = "1550-1329",
publisher = "Sage",
number = "8",

}

TY - JOUR

T1 - A multi-layer Internet of things database schema for online-to-offline systems

AU - Cai,H.

AU - Luan,S.

AU - Jiang,L.

AU - Shah,Nazaraf

AU - Farmer,Raymond

AU - Chao,Kuo-Ming

N1 - This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

PY - 2016/8/19

Y1 - 2016/8/19

N2 - Due to the widespread usage of Internet of things devices in online-to-offline businesses, a huge volume of data from heterogeneous data sources are collected and transferred to the data processing components in online-to-offline systems. This leads to increased complexity in data storage and querying, especially for spatial–temporal data processing in online-to-offline systems. In this article, first, we design a multi-layer Internet of things database schema to meet the diverse requirements through fusing spatial data with texts, images, and videos transferred from the sensors of the Internet of things networks. The proposed multi-layer Internet of things database schema includes logical nodes, geography nodes, storage nodes, and application nodes. These data nodes cooperate with each other to facilitate the data storing, indexing, and querying. Second, a searching algorithm is designed based on pruning strategy. The complexity of the algorithm is also analyzed. Finally, the multi-layer Internet of things database schema and its application are illustrated in a smart city construction project in Shanghai, China, recommending available charging points to the customers who need to charge their electric energy–driven cars. Publisher statement: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

AB - Due to the widespread usage of Internet of things devices in online-to-offline businesses, a huge volume of data from heterogeneous data sources are collected and transferred to the data processing components in online-to-offline systems. This leads to increased complexity in data storage and querying, especially for spatial–temporal data processing in online-to-offline systems. In this article, first, we design a multi-layer Internet of things database schema to meet the diverse requirements through fusing spatial data with texts, images, and videos transferred from the sensors of the Internet of things networks. The proposed multi-layer Internet of things database schema includes logical nodes, geography nodes, storage nodes, and application nodes. These data nodes cooperate with each other to facilitate the data storing, indexing, and querying. Second, a searching algorithm is designed based on pruning strategy. The complexity of the algorithm is also analyzed. Finally, the multi-layer Internet of things database schema and its application are illustrated in a smart city construction project in Shanghai, China, recommending available charging points to the customers who need to charge their electric energy–driven cars. Publisher statement: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

KW - Spatial data

KW - Internet of things application

KW - data storage

KW - query processing

KW - multi-layer Internet of things database schema

U2 - 10.1177/1550147716664248

DO - 10.1177/1550147716664248

M3 - Article

VL - 12

JO - International Journal of Distributed Sensor Networks

T2 - International Journal of Distributed Sensor Networks

JF - International Journal of Distributed Sensor Networks

SN - 1550-1329

SN - 1550-1477

IS - 8

M1 - 1550147716664248

ER -