scholarly journals A Semantic-Based Belief Network Construction Approach in IoT

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5747
Author(s):  
Yuji Dong ◽  
Kaiyu Wan ◽  
Yong Yue
Keyword(s):  
Physical Environment ◽  
System Component ◽  
The Internet ◽  
Accurate Data ◽  
Simulation Experiments ◽  
Network Construction ◽  
Belief Network ◽  
Semantic Match ◽  
Different Sources ◽  
The Internet Of Things

Uncertainty is intrinsic in most of the complex systems, especially when the systems have to interact with the physical environment; therefore, handling uncertainty is critical in the Internet of Things (IoT). In this paper, we propose a semantic-based approach to build the belief network in IoT systems to handle the uncertainties. Semantics is the functionality description of any system component. Semantic Match mechanisms can construct the appropriate structures to compare the consistency between different sources of data based on the same functionality. In the approach, we define the belief property of every system component and develop the related algorithms to update the belief value. Furthermore, the related mechanisms and algorithms for data fusion and fault detection based on the belief property are described to explain how the approach works in the IoT systems. Several simulation experiments are used to evaluate the proposed approach, and the results indicate that the approach can work as expected. More accurate data are fused from the inaccurate devices and the fault in one node is automatically detected.

Cloud Provisioning and Modeling of Internet of Things (IoT) Systems for Evaluating Big Data Uncertainties

2020 ◽  
pp. 125-130
Author(s):  
Yuji Huang ◽  
Aravindhan K
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Actual World ◽  
The Internet ◽  
Data Systems ◽  
Internet Service ◽  
Research Gap ◽  
Big Data Systems ◽  
Different Sources ◽  
The Internet Of Things

The present cyber-physical schemes and the Internet of Things (IoT) schemes comprise of both complex and simple interactions defining the different sources of the IoT systems such as cloud information and the edge internet service centres. All the modeling frameworks have been established on the virtualization dimensions that include both the cloud and the edge structures. Apart from that, the systems deal with big data based on the connections of various forms of services and networks. In that case, various forms of data uncertainties are evident. These uncertainties include elasticity and actuation uncertainties. As a result, this leads to a number of challenges that affect the process of testing these uncertainties in the big data systems. Nonetheless, there is a research gap present to effectively model and design the precise infrastructure frameworks that handle the necessities for evaluating these emergent big data uncertainties. With that regard, this scholastic paper focusses on the techniques used to generate and determine the deployment configurations used in the process of evaluating both the cloud and IoT systems. In this research, the survey will consider the actual-world application for analysing and monitoring the transceiver frameworks.

scholarly journals TagHunt: Uma plataforma Combinando a Internet das Coisas com Scavenger Hunt Games

2015 ◽  
Author(s):  
Kiev Gama ◽  
Rafael Wanderley ◽  
Daniel Maranhão ◽  
Vinicius Garcia
Keyword(s):  
Internet Of Things ◽  
Physical Environment ◽  
Physical World ◽  
The Internet ◽  
Qr Code ◽  
Ordinary Objects ◽  
Physical Environments ◽  
Heterogeneous Objects ◽  
The Internet Of Things

The “Internet of Things” (IoT) brings the notion of heterogeneous objects using ubiquitous technologies to interact among them and with the physical environment through technologies such as Bluetooth, ZigBee, GPRS, NFC, QR code, among others. Based on the possibility of linking ordinary objects from the physical world to the Internet, this paper proposes and details a platform called TagHunt, for creating and playing scavenger hunt games. This platform leverages on smartphones’ capability to interact with ordinary objects using IoT-based technologies such as NFC and QR Code, stimulating the player to interact with physical environments looking for “clues” in the game.

Challenges and Solutions of Big Data and IoT

2019 ◽  
pp. 264-272
Author(s):  
Jayashree K. ◽  
Abirami R. ◽  
Rajeswari P.
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Collection ◽  
Internet Of Things ◽  
Data Processing ◽  
The Internet ◽  
Huge Amount ◽  
Collection Data ◽  
Different Sources ◽  
The Internet Of Things

The successful development of big data and the internet of things (IoT) is increasing and influencing all areas of technologies and businesses. The rapid increase of more devices that are connected to IoT from which enormous amount of data are consumed indicates the way how big data is related with IoT. Since huge amount of data are obtained from different sources, analysis of these data involves much of processing at each and every level to extract knowledge for decision making process. To manage big data in a continuous network that keeps expanding leads to few issues related to data collection, data processing, analytics, and security. To address these issues, certain solution using bigdata approach in IoT are examined. Combining these two areas provides several opportunities developing new systems and identify advanced techniques to solve challenges on big data and IoT.

Deployment and Optimization for Cloud Computing Technologies in IoT

2019 ◽  
pp. 2134-2144
Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Industrial Applications ◽  
The Internet ◽  
On Demand ◽  
Computing Technologies ◽  
The Future ◽  
Different Sources ◽  
The Internet Of Things

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.

Deep Belief Network for Meteorological Time Series Prediction in the Internet of Things

2019 ◽  
Vol 6 (3) ◽  
pp. 4369-4376 ◽  
Author(s):  
Yong Cheng ◽  
Xiangyu zhou ◽  
Shaohua Wan ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Time Series ◽  
Internet Of Things ◽  
Time Series Prediction ◽  
Deep Belief Network ◽  
The Internet ◽  
Belief Network ◽  
The Internet Of Things

Deployment and Optimization for Cloud Computing Technologies in IoT

2018 ◽  
pp. 43-56
Author(s):  
Aditya Pratap Singh ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Future Internet ◽  
Industrial Applications ◽  
The Internet ◽  
On Demand ◽  
Computing Technologies ◽  
The Future ◽  
Different Sources ◽  
The Internet Of Things

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.

scholarly journals Urban Public Sports Information-Sharing Technology Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Youliang Li ◽  
Fenglei Li ◽  
Yujun Xiong
Keyword(s):  
Internet Of Things ◽  
New Technologies ◽  
Social Economy ◽  
Current Status ◽  
The Internet ◽  
Continuous Development ◽  
Simulation Experiments ◽  
Sports Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the continuous development of social economy, sports has become one of the important ways of physical exercise, and the demand for corresponding sports facilities is also increasing. The Internet of Things technology is introduced in this paper. Through combining the current status of urban public sports, an urban public sports sharing system is built by trial, to promote the sharing of urban public sports information through the continuous development of new technologies such as the Internet and improve the publicity and popularization of public sports information. Simulation experiments prove that the Internet of Things technology is effective and can effectively support the sharing of urban public sports information.

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