scholarly journals Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xuemei Fan

With the development of the mobile Internet of Things, people have higher and higher requirements for services, and how to provide high-quality services that meet the needs of users has also become a hot issue of current research. This article is also in the context of the mobile Internet of Things, researching the solution to the service matching problem. In order to provide high-quality grid services, the grid system needs the support of quality of service (QoS). Based on the existing QoS matching strategy, a service matching strategy based on dynamic grid QoS is proposed. This paper combines semantic information, considers service quality QoS and user preferences, and improves the success rate of service matching through hierarchical matching, so as to provide users with high-quality services. At the same time, the classic Max-Min algorithm in grid task scheduling is analysed, and on this basis, the impact of QoS on task scheduling is fully considered, and combined with the concept of execution cost, a grid task based on QoS constraints (MOS) is proposed. Through simulation verification and analysis, the strategy in this paper not only achieved higher matching performance, but also improved the success rate of task execution, and the effect of system load balancing was also significantly improved.

2018 ◽  
Vol 7 (2.7) ◽  
pp. 444 ◽  
Author(s):  
Samir Yerpude ◽  
Dr Tarun Kumar Singhal

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  


2021 ◽  
Vol 5 (1) ◽  
pp. 5
Author(s):  
Mohammad Al mojamed

A long-range wide-area network (LoRaWAN) targets both mobile and static Internet of Things (IoT) applications; it is suited to IoT applications, which require a large coverage area while consuming less power at a low data rate; it provides a solution for transferring data between IoT devices with a minimum cost in terms of power, at the expense of higher latency. LoRaWAN was designed for static low-power long-range networks. However, several IoT solution applications involve the use of mobility. Therefore, this study investigates the usage of LoRaWAN in the field of mobile Internet of Things applications such as bike rentals, fleet monitoring, and wildlife and animal tracking applications. Using the OMNeT++ simulator, two different well-known mobility models are used to investigate the influence of mobility on the performance of mobile LoRaWAN. The results show that intense LoRaWAN networks can operate under a high velocity and varying traffic load. It can be observed that the random waypoint model combination yields a better performance, but at the cost of higher collisions and energy consumption. As a consequence, the results suggest the reconsideration of mobile IoT solutions over LoRaWAN.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1213 ◽  
Author(s):  
Qiao Tian ◽  
Yun Lin ◽  
Xinghao Guo ◽  
Jin Wang ◽  
Osama AlFarraj ◽  
...  

With the continuous development of science and engineering technology, our society has entered the era of the mobile Internet of Things (MIoT). MIoT refers to the combination of advanced manufacturing technologies with the Internet of Things (IoT) to create a flexible digital manufacturing ecosystem. The wireless communication technology in the Internet of Things is a bridge between mobile devices. Therefore, the introduction of machine learning (ML) algorithms into MIoT wireless communication has become a research direction of concern. However, the traditional key-based wireless communication method demonstrates security problems and cannot meet the security requirements of the MIoT. Based on the research on the communication of the physical layer and the support vector data description (SVDD) algorithm, this paper establishes a radio frequency fingerprint (RFF or RF fingerprint) authentication model for a communication device. The communication device in the MIoT is accurately and efficiently identified by extracting the radio frequency fingerprint of the communication signal. In the simulation experiment, this paper introduces the neighborhood component analysis (NCA) method and the SVDD method to establish a communication device authentication model. At a signal-to-noise ratio (SNR) of 15 dB, the authentic devices authentication success rate (ASR) and the rogue devices detection success rate (RSR) are both 90%.


Libri ◽  
2020 ◽  
Vol 70 (4) ◽  
pp. 279-290
Author(s):  
Han Wang ◽  
Qing Fang ◽  
Ye Chen ◽  
Lingshuang Guan ◽  
Ting Dong

AbstractWith the rapid development of information technology and mobile Internet access, social media content has become extremely abundant and open, and users have become heavily dependent on social reading. As a result, users’ reading motivation has greatly changed from traditional reading to digital reading to social reading. Exploring the potential effects of social reading can contribute to providing strategies to accurately target high-quality reading content to help promote reading with social media. Drawing upon the use and gratifications theory and reading motivation scales, the current study examines the effectiveness of reading motivation to explore in depth the influencing mechanism of users’ reading on social media. Structural equation modeling is employed to empirically test the impact factor model. The results indicate that social media users’ reading motivation mainly includes entertainment, self-presentation, information acquisition, social promotion, and social interaction. Regarding the overall contribution, social motivation is the most important factor in social media reading activities, followed by intrinsic reading motivation and information reading motivation. The findings and their implications are discussed to provide suggestions for social media operators promoting high-quality reading.


2017 ◽  
Vol 05 (02) ◽  
pp. 1750009 ◽  
Author(s):  
Xiangxuan XU

The past decade has witnessed the emergence of Internet of Things (IoT) technologies in public service innovation. As the technical characteristics of IoT technologies are rather identical around the globe, one might wonder whether the location still matters for their adoptions. Smart public bike sharing (PBS) scheme is one of the world’s most widespread public IoT applications. Prior studies of smart PBS schemes find the positive effects on the host city’s image and sustainable mobility. However, less attention has been paid to the impact of the host city’s context on the evolution of their service characteristics. The paper proposes a model that explicitly includes the contextual dynamics of public service innovations that utilize IoT. Then the model is used to analyze two empirical cases from Sweden and China, respectively. The results reveal that public motives, user preferences, and governance can impact the evolution of the service characteristics of smart PBS schemes, which is important for smart PBS planners, operators, and policymakers to consider. The best PBS scheme is the one that adapts to the characters of the host city and the changing needs of the users. Moreover, the study reflects the new complexities that arise for digital public services, such as the protection of data and privacy.


2008 ◽  
Vol 47 (04) ◽  
pp. 153-166 ◽  
Author(s):  
I. Weber ◽  
W. Eschner ◽  
F. Sudbrock ◽  
M. Schmidt ◽  
M. Dietlein ◽  
...  

SummaryAim: This study was performed to analyse the impact of the choice of antithyroid drugs (ATD) on the outcome of ablative radioiodine therapy (RIT) in patients with Graves' disease. Patients, material, methods: A total of 571 consecutive patients were observed for 12 months after RIT between July 2001 and June 2004. Inclusion criteria were the confirmed diagnosis of Graves' disease, compensation of hyperthyroidism and withdrawal of ATD two days before preliminary radioiodine-testing and RIT. The intended dose of 250 Gy was calculated from the results of the radioiodine test and the therapeutically achieved dose was measured by serial uptake measurements. The end-point measure was thyroid function 12 months after RIT; success was defined as elimination of hyperthyroidism. The pretreatment ATD was retrospectively correlated with the results achieved. Results: Relief from hyperthyroidism was achieved in 96 % of patients. 472 patients were treated with carbimazole or methimazole (CMI) and 61 with propylthiouracil (PTU). 38 patients had no thyrostatic drugs (ND) prior to RIT. The success rate was equal in all groups (CMI 451/472; PTU 61/61; ND 37/38; p=0.22). Conclusion: Thyrostatic treatment with PTU achieves excellent results in ablative RIT, using an accurate dosimetric approach with an achieved post-therapeutic dose of more than 200 Gy.


1997 ◽  
Vol 22 (3) ◽  
Author(s):  
Michael Jensen

Abstract: Scholarly publishing and access to high-quality information may in fact be threatened, rather than improved, by the revolution in communications, particularly in a fully commercial Internet. The effects of the political revolution in Eastern Europe on scholarship and quality publishing are used as a touchstone of the dangers that occur when naïve revolutionaries make swift changes without fully recognizing the impact upon delicately balanced social institutions such as non-profit organizations. Résumé: La révolution en communications, particulièrement en ce qui regarde un Internet commercialisé, plutôt que d'améliorer l'édition savante et l'accès à de l'information de haute qualité, pourrait en fait poser une menace pour ceux-ci. Cet article examine comment la révolution politique en Europe de l'Est a influé sur la recherche et l'édition de qualité. Il utilise cet exemple pour examiner les dangers que peuvent courir certains révolutionnaires naïfs quand ils instaurent des changements rapides san songer à leur impact sur des institutions sociales à équilibre délicat comme les organisations à but non lucratif.


2019 ◽  
Vol 38 (4) ◽  
pp. 131-149 ◽  
Author(s):  
Patrick J. Hurley ◽  
Brian W. Mayhew

SUMMARY We insert an automated high-quality (HQ) auditor into established experimental audit markets to test the impact of high-quality competition on other auditors' supply of and managers' demand for audit quality. Theory predicts that managers will demand high levels of audit quality to avoid investors' price-protecting behavior. This demand should result in the HQ auditor dominating the market and increase other auditors' audit quality provision to compete with the HQ auditor. However, we find that the HQ auditor does not dominate the market—despite holding audit costs constant and investors placing a premium on HQ auditor reports. We also find that adding an HQ auditor results in other auditors lowering audit quality. Additional analyses indicate some managers demand lower audit quality to avoid negative audit reports, consistent with loss aversion as a potential explanation. Our findings indicate a need to develop a more comprehensive theory of the demand for auditing. Data Availability: The laboratory market data used in this study are available from the authors upon request.


2021 ◽  
Vol 11 (10) ◽  
pp. 4658
Author(s):  
Magdalena Januszek ◽  
Paweł Satora

Quality of plum jerkum is significantly associated to the profile of volatile compounds. Therefore, we decided to assess the impact of various fermentation types on selected properties of plum jerkums, especially compounds which contribute to the aroma of the finished product. We used the following yeast strains: S. cerevisiae S1, H. uvarum H2, and Ethanol RED (S. cerevisiae). Moreover, we considered spontaneous fermentation. S. cerevisiae and H. uvarum strains were isolated during the fermentation of Čačanska Lepotica or Węgierka Dąbrowicka (plum cultivars), respectively. As for fermentation type, spontaneous fermentation of H. uvarum H2 provided the best results. It could be associated to the fact that plum juices fermented with H. uvarum H2 presented the highest concentration of terpenoids, esters, or some higher alcohols. In the current paper, application of indigenous strains of yeasts resulted in the required oenological characteristics, e.g., highest fermentation efficiency and concentration of ethanol was determined in juices fermented with Ethanol RED (S. cerevisiae) and also with S. cerevisiae S1. Our results suggested that indigenous strains of yeasts present in plums demonstrate great potential for the production of plum jerkums of high quality.


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