Research on the Internet of Things and the development of smart city industry based on big data

被引:4
作者
Liu, Zhanyu [1 ,2 ,3 ]
机构
[1] Henan Polytech Univ, Sch Business, Jiaozuo 454000, Henan, Peoples R China
[2] Henan Polytech Univ, Energy Econ Res Ctr, Jiaozuo 454000, Henan, Peoples R China
[3] Henan Polytech Univ, Taihang Res Inst, Jiaozuo 454000, Henan, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2018年 / 21卷 / 01期
关键词
Smart city; Smart industry; Big data; Internet of things; INTEGRATION; MODEL; IOT;
D O I
10.1007/s10586-017-0910-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Development of smart city and smart industry is a major concern in today's world. By using the Internet of Things and big data analytics, can develop the smart city and smart industry. So a new approach called smart city industry based on big data (SCIB) is proposed. This helps to enhance the performance and to develop the smart city and smart industry even by using big data analytics. Here data are collected from the smart city and industrial appliances such as health care, education systems, congestion management and power grid. These data will be formed as a big data and that will be passed to data acquisition for digitalization. Further it will be stored with the help of cloud computing process. Now based on the application user's requirement data processing, decision making and data transfer process will be done. In simulation section, it analyzes the performance and calculates the parameters such as delay, lifetime, failure rate, congestion rate and throughput to know the performance of the proposed approach. The proposed SCIB approach will help to increase the throughput and lifetime at the same time it reduces the delay, failure rate and congestion rate.
引用
收藏
页码:789 / 795
页数:7
相关论文
共 28 条
[1]   INTERNET-OF-THINGS-BASED SMART ENVIRONMENTS: STATE OF THE ART, TAXONOMY, AND OPEN RESEARCH CHALLENGES [J].
Ahmed, Ejaz ;
Yaqoob, Ibrar ;
Gani, Abdullah ;
Imran, Muhammad ;
Guizani, Mohsen .
IEEE WIRELESS COMMUNICATIONS, 2016, 23 (05) :10-16
[2]   Solid waste characterization, quantification and management practices in developing countries. A case study: Nablus district - Palestine [J].
Al-Khatib, Issam A. ;
Monou, Maria ;
Abu Zahra, Abdul Salam F. ;
Shaheen, Hafez Q. ;
Kassinos, Despo .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2010, 91 (05) :1131-1138
[3]  
Aliahmadipour L, 2017, STUD COMPUT INTELL, V671, P157, DOI 10.1007/978-3-319-47557-8_10
[4]  
Bi CJ, 2014, INT CONF CLOUD COMPU, P327, DOI 10.1109/CCIS.2014.7175753
[5]   Integration of Cloud computing and Internet of Things: A survey [J].
Botta, Alessio ;
de Donato, Walter ;
Persico, Valerio ;
Pescape, Antonio .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 56 :684-700
[6]   A multi-layer Internet of things database schema for online-to-offline systems [J].
Cai, Hongming ;
Luan, Shuai ;
Jiang, Lihong ;
Shah, Nazaraf ;
Farmer, Ray ;
Chao, Kuo-Ming ;
Xu, Boyi .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016, 12 (08)
[7]   Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring [J].
Chen, Min ;
Ma, Yujun ;
Song, Jeungeun ;
Lai, Chin-Feng ;
Hu, Bin .
MOBILE NETWORKS & APPLICATIONS, 2016, 21 (05) :825-845
[8]   Clustering and ontology-based information integration framework for surface subsidence risk mitigation in underground tunnels [J].
Du, Juan ;
He, Renzhi ;
Sugumaran, Vijayan .
Cluster Computing-The Journal of Networks Software Tools and Applications, 2016, 19 (04) :2001-2014
[9]   Research trends in sustainable operation: a bibliographic coupling clustering analysis from 1988 to 2016 [J].
Fu, Xiaoxi ;
Niu, Zhanwen ;
Yeh, Ming-Kuei .
Cluster Computing-The Journal of Networks Software Tools and Applications, 2016, 19 (04) :2211-2223
[10]   Internet of things: from internet scale sensing to smart services [J].
Georgakopoulos, Dimitrios ;
Jayaraman, Prem Prakash .
COMPUTING, 2016, 98 (10) :1041-1058