Novel Query-Driven Real-Time Data Forwarding in Internet of Things

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

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Real-Time Data Analytics in Internet of Things Systems

Handbook of Real-Time Computing ◽

10.1007/978-981-4585-87-3_38-1 ◽

2020 ◽

pp. 1-28

Author(s):

Tianqi Yu ◽

Xianbin Wang

Keyword(s):

Internet Of Things ◽

Real Time ◽

Data Analytics ◽

Time Data ◽

Real Time Data

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A Block Chain Approach for Privacy Preserving and Data Security in Internet of Things

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.9002 ◽

2020 ◽

Vol 17 (9) ◽

pp. 3979-3982

Author(s):

N. Harish Kumar ◽

G. Deepak

Keyword(s):

Internet Of Things ◽

Real Time ◽

Data Security ◽

Cloud Storage ◽

Storage System ◽

Information Storage ◽

Entire System ◽

Time Data ◽

Real Time Data ◽

Block Chain

Internet of Things has been increasing its usage and recognition in vast sectors like Defence, Business, Industries, and Hospitals. The data disruption is strictly unacceptable in a number of these sectors because it could end up in serious Loss or Damages to the entire system. As of now, IOT is using a central cloud storage system for information storage and transactions. However, some examples already verified that Central cloud storage information might be hacked and changed by the specialists. This paper presents an IoT system having localized block chain storage which works on real time data and manipulates with narrowness of data interruption and modification and its recovery.

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Internet of Things based Customer Relationship Management – A Research Perspective

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.7.10860 ◽

2018 ◽

Vol 7 (2.7) ◽

pp. 444 ◽

Cited By ~ 7

Author(s):

Samir Yerpude ◽

Dr Tarun Kumar Singhal

Keyword(s):

Internet Of Things ◽

Real Time ◽

Customer Relationship Management ◽

Relationship Management ◽

Mobile Internet ◽

Customer Relationship ◽

Time Data ◽

Crm System ◽

Real Time Data ◽

The Impact

Objectives: To study the impact of Internet of things (IoT) on the Customer Relationship Management process and evaluate the benefits in terms of customer satisfaction and customer retention. Methods: An extensive literature review was conducting wherein the constructs of CRM and IoT are studied. Various preliminary information on IoT and CRM system along with the components of Digital enablers have been evaluated. References from research papers, journals, Internet sites, statistical data sites and books were used to collate the relevant content on the subject. The study of all the relevant scenarios where there is a possible impact of IoT origin real time data on CRM was undertaken. Findings: Customer demands are continuously evolving and it is very relevant for all the organizations to align and keep pace with the change. Organizations need to be customer centric and agile to the changing market scenarios. Evaluation of the trends in mobile internet vs desktop internet was also conducted to validate the findings. Application: The usage of real time data emerging out of the IoT landscape has become a reality with the data transmitted over the Internet and consumed by the CRM system. It improves the control on the customer relationship function helping the organizations to operate within healthy and sustained profit

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Design of smart agriculture based on big data and Internet of things

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720917065 ◽

2020 ◽

Vol 16 (5) ◽

pp. 155014772091706 ◽

Cited By ~ 2

Author(s):

Chunling Li ◽

Ben Niu

Keyword(s):

Data Mining ◽

Information Processing ◽

Internet Of Things ◽

Real Time ◽

Data Communication ◽

Large Data ◽

Time Data ◽

Real Time Data ◽

Smart Agriculture ◽

Internet Of Things Technology

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.

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Internet of Things in E-Government

International Journal of Artificial Intelligence and Machine Learning ◽

10.4018/ijaiml.2020070106 ◽

2020 ◽

Vol 10 (2) ◽

pp. 99-118

Author(s):

Panagiota Papadopoulou ◽

Kostas Kolomvatsos ◽

Stathes Hadjiefthymiades

Keyword(s):

Internet Of Things ◽

Real Time ◽

Early Stage ◽

Holistic Approach ◽

Smart Devices ◽

Full Potential ◽

Time Data ◽

Legal Nature ◽

Real Time Data ◽

The Creation

E-government can greatly benefit by the use of IoT, enabling the creation of new innovative services or the transformation and enhancement of current ones, which are informed by smart devices and real-time data. The adoption of IoT in e-government encompasses several challenges of technical as well as organizational, political and legal nature which should be addressed for developing efficient government-to-citizen and government-to-society applications. This article examines IoT adoption in e-government in a holistic approach. It provides an overview of the IoT potential in e-government across several application domains, highlighting the specific issues that seek attention in each of them. The article also investigates the challenges that should be considered and managed for IoT in e-government to reach its full potential. With the application of IoT in e-government being at an early stage, the article contributes to the theoretical and practical understanding of how IoT can be leveraged for e-government purposes.

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Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks

Journal of Applied Mathematics ◽

10.1155/2014/597697 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7 ◽

Cited By ~ 8

Author(s):

DongHo Kang ◽

ByoungKoo Kim ◽

JungChan Na ◽

KyoungSon Jhang

Keyword(s):

Sensor Networks ◽

Internet Of Things ◽

Data Acquisition ◽

Real Time ◽

Supervisory Control ◽

Cyber Attacks ◽

Computing Environment ◽

Time Data ◽

Real Time Data ◽

Filtering Technique

Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment. Recently IoT technologies begin to merge with supervisory control and data acquisition (SCADA) sensor networks to more efficiently gather and analyze real-time data from sensors in industrial environments. But SCADA sensor networks are becoming more and more vulnerable to cyber-attacks due to increased connectivity. To safely adopt IoT technologies in the SCADA environments, it is important to improve the security of SCADA sensor networks. In this paper we propose a multiple filtering technique based on whitelists to detect illegitimate packets. Our proposed system detects the traffic of network and application protocol attacks with a set of whitelists collected from normal traffic.

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