Study on Data Processing of the IOT Sensor Network Based on a Hadoop Cloud Platform and a TWLGA Scheduling Algorithm

被引：5

作者：

Li, Guoyu ^{[1
]}

Yang, Kang ^{[1
]}

机构：

[1] Handan Univ, Sch Informat Engn, Handan, Peoples R China

来源：

JOURNAL OF INFORMATION PROCESSING SYSTEMS | 2021年 / 17卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Cloud Computing; Hadoop; Internet of Things; Sensor Network;

D O I：

10.3745/JIPS.04.0230

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An Internet of Things (JOT) sensor network is an effective solution for monitoring environmental conditions. However, IOT sensor networks generate massive data such that the abilities of massive data storage, processing, and query become technical challenges. To solve the problem, a Hadoop cloud platform is proposed. Using the time and workload genetic algorithm (TWLGA), the data processing platform enables the work of one node to be shared with other nodes, which not only raises efficiency of one single node but also provides the compatibility support to reduce the possible risk of software and hardware. In this experiment, a Hadoop cluster platform with TWLGA scheduling algorithm is developed, and the performance of the platform is tested. The results show that the Hadoop cloud platform is suitable for big data processing requirements of IOT sensor networks.

引用

页码：1035 / 1043

页数：9

共 15 条

[1] A hybrid genetic algorithm for scientific workflow scheduling in cloud environment [J].

Aziza, Hatem ;

Krichen, Saoussen .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (18) :15263-15278

[2] Internet of Things: Applications and Challenges in Technology and Standardization [J].

Bandyopadhyay, Debasis ;

Sen, Jaydip .

WIRELESS PERSONAL COMMUNICATIONS, 2011, 58 (01) :49-69

[3] Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay [J].

Li, Lei ;

Guo, Mian ;

Ma, Lihong ;

Mao, Huiyun ;

Guan, Quansheng .

SENSORS, 2019, 19 (18)

[4]

Liu P, 2010, CLOUD COMPUTING

[5] RETRACTED: Monitoring of air pollution to establish optimal less polluted path by utilizing wireless sensor network (Retracted Article) [J].

Preethi, K. ;

Tamilarasan, R. .

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (06) :6375-6386

[6] Key management systems for sensor networks in the context of the Internet of Things [J].

Roman, Rodrigo ;

Alcaraz, Cristina ;

Lopez, Javier ;

Sklavos, Nicolas .

COMPUTERS & ELECTRICAL ENGINEERING, 2011, 37 (02) :147-159

[7] Identities in the Future Internet of Things [J].

Sarma, Amardeo C. ;

Girao, Joao .

WIRELESS PERSONAL COMMUNICATIONS, 2009, 49 (03) :353-363

[8] Estimating WCET using prediction models to compute fitness function of a genetic algorithm [J].

Shah, Syed Abdul Baqi ;

Rashid, Muhammad ;

Arif, Muhammad .

REAL-TIME SYSTEMS, 2020, 56 (01) :28-63

[9] An adaboost-modified classifier using particle swarm optimization and stochastic diffusion search in wireless IoT networks [J].

Suganya, E. ;

Rajan, C. .

WIRELESS NETWORKS, 2021, 27 (04) :2287-2299

[10] Chromosome Coding Methods in Genetic Algorithm for Path Planning of Mobile Robots [J].

Tuncer, Adem ;

Yildirim, Mehmet .

COMPUTER AND INFORMATION SCIENCES II, 2012, :377-383

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