scholarly journals Multistage Dynamic Packet Access Mechanism of Internet of Things

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Yi Meng ◽  
Chen QingKui ◽  
Zhang Gang
Keyword(s):  
Internet Of Things ◽  
Resource Competition ◽  
Data Access ◽  
The Internet ◽  
Network Access ◽  
Feature Maps ◽  
Control Command ◽  
Packet Access ◽  
Low Efficiency ◽  
The Internet Of Things

In the scenario of mass control commands requesting for network access, confined by the best-effort network service mode, it is easy to bring about resource competition and thus a phenomenon of access failure on major and urgent service request at the data access center for the Internet of Things. In this event, the dynamic diversification of control command is unable to access the necessary resources on a comparatively fair basis, causing low efficiency in heterogeneous resource utilization at the access center. This paper defines the problem of group request dynamic resource allocation and further converts it into the problem of 0-1 integer and linear programming and proposes a multistage dynamic packet access strategy. This strategy works first on dynamic group division on the users’ mass control requests using the high ability of self-organizing feature maps and then searches for the optimized matching resources based on the frog-leaping algorithm which has a better capacity for global searching for the best resources. This paper analyzes the feasibility of this strategy and its astringency. The experimental results demonstrate that the strategy can effectively improve the success rate of access to the data center for the Internet of Things and reduce network blockage and response delay.

scholarly journals Trust Management in Internet of Things Applications

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1750-1753
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Trust Management ◽  
Energy Use ◽  
User Authentication ◽  
Data Access ◽  
The Internet ◽  
Security Measures ◽  
Management Models ◽  
The Internet Of Things

More connected devices bring amazing benefits to people and enterprises. However, they also create more digital doorways. The risk in IoT is not just financial. IoT connecting medical devices, running city infrastructure and even the houses we sleep in. Connected gadgets and sensors in our homes and working environments known as the Internet of Things-offer gigantic potential for improving how internet live and move around. We can quantify wellbeing information, travel propensities and vitality use. In any case, as more gadgets become associated, vulnerable they are to complex digital security dangers. Connected devices and sensors in our homes and workplacesknown as the Internet of Things-offer huge potential for improving how we live and move around. We can measure health data, travel habits and energy use. But as more devices become connected, the more vulnerable they are to sophisticated cyber security threats. There exist a few application security issues; for example, data access and user authentication, data protection, decimate and track of information stream, IoT platform stability, middleware security, the executives stage, etc. An effective trust management model is to be used in each IoT framework to ensure the framework against malevolent assaults and consequently ensuring dependable and secure data transmission. To achieve this objective, various trust management models are used to enforce different security measures in a social IoT system. Two different trust management models namely dynamic model and machine learning based model are clarified and correlation of model are expressed and along these lines the benefit of one model over the other is comprehended.. Appropriately in this paper, a detailed study of each model is done with other pinpoints thus leading to a thorough study of two diverse trust management models.

scholarly journals A REVIEW ON CLOUD COMPUTING SERVICES AND CONVERGENCE AMONG CLOUD COMPUTING AND BIG DATA

2020 ◽  
Vol 6 (9) ◽  
pp. 84-91
Author(s):  
Krishna Chaitanya Sanagavarapu
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Farming System ◽  
Sensor Nodes ◽  
The Internet ◽  
Network Access ◽  
Configurable Computing ◽  
Set Up ◽  
Scalable Network ◽  
The Internet Of Things

Cloud Computing enables a practical, as needed and also scalable network access to a common swimming pool of configurable computing resources. This paper mainly focuses on a usual technique to integrate the Internet of Things (IoT) as well as Cloud Computer under the name of Cloud Things style. We evaluate the state-of-the-art for integrating Cloud Computer as well as the Internet of Things. The objective is to give a faster as well as easier platform for the customer to get information from an array of sensor nodes that has actually been set-up in a farming system.

Research of RFID Intelligent Access Control System in the Internet of Things

2012 ◽  
Vol 532-533 ◽  
pp. 576-580
Author(s):  
Ke Chao Wang ◽  
Tian Tian Wang ◽  
Zong Fu Jia ◽  
Ming Kui Zong
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Access Control ◽  
Radio Frequency Identification ◽  
Effective Control ◽  
The Internet ◽  
Security Technology ◽  
Access Control System ◽  
Low Efficiency ◽  
The Internet Of Things

Traditional access control system is relatively simple, low efficiency, small storage capacity, which can not meet the initiative, timeliness, and flexibility requirements of security technology in the Internet of Things. To solve this problem, this paper researches and designs the intelligent access control system based on Radio Frequency Identification (RFID) technology. The system consists of an access control management system and an access controller. The system can not only be used as the import and export of safety management, but also contribute to the internal order management, achieve effective control and management of access control region.

Information Query Mechanism Based on Pastry for Internet of Things

2011 ◽  
Vol 66-68 ◽  
pp. 2236-2240
Author(s):  
Dong Dong Liu ◽  
Zhan Bo Li
Keyword(s):  
Distributed Systems ◽  
Internet Of Things ◽  
Experimental Results ◽  
The Internet ◽  
Object Naming ◽  
Distributed Data ◽  
Service Architecture ◽  
Query Efficiency ◽  
Low Efficiency ◽  
The Internet Of Things

Name Services for the Internet of Things are distributed systems that serve a fundamental lookup function to identify the distributed data for tracing the product. However,the currently specified Object Naming Service (ONS) for the Internet of Things has severe drawbacks ,such as low efficiency and weak security.In this paper, we Put forward a name service architecture based on Pastry algorithm. And an experiment is carried out by OMNET++ simulation platform , experimental results demonstrate that the mechanism in terms of both network throughput, query efficiency has improved greatly compared to ONS.

scholarly journals TEACHING INDUSTRY 4.0

2020 ◽  
Vol 2 ◽  
pp. 69
Author(s):  
Gilberto Marzano ◽  
Andris Martinovs
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Data Access ◽  
The Internet ◽  
German Industry ◽  
Time Data ◽  
Future Challenges ◽  
The Internet Of Things

Industry 4.0 is a term that was introduced by the German government at the time of the Hannover Fair in 2011 in relation to an initiative brought forward to support German industry in addressing future challenges. It refers to the 4th industrial revolution, in which disruptive digital technologies, such as the Internet of Things (IoT), robotics, virtual reality (VR), and artificial intelligence (AI), are exercising a notable impact on industrial production.Industry 4.0 takes the emphasis on digital technology of recent decades to a whole new level with the help of interconnectivity through the Internet of Things (IoT), real-time data access, and the introduction of cyber-physical systems.This paper focuses on the design of an educational module for higher education mechatronics students. Introducing Industry 4.0 into a mechatronics curriculum will reinforce the integration of student competences in flexible and rapid manufacturing. The module includes notions of machine learning and deep machine learning, which are essential in robotics and behavioral robotics and closely interact with control theory. The results of a pilot training activity in the field are also illustrated and discussed. 

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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