A Large-Scale Device Collaboration Resource Selection Method with Multi-QoS Constraint Supported

2010 ◽  
Vol 143-144 ◽  
pp. 894-898
Author(s):  
Xiao Hui Rong ◽  
Pan Deng ◽  
Feng Chen

With the rapid development of the “Internet of Things” and large-scale area management, device collaboration has developed to the stage of large-scale device collaboration. Aiming at the large-scale, dynamics and real-time of the large-scale device collaboration system, in order to ensure the performance of the large-scale device collaboration system, a Quality of Service(QoS) model of large-scale device collaboration is proposed, which contains device QoS model, composite QoS model and QoS relation model. Based on the model, an algorithm of the resource selection in large-scale device collaboration system is presented. Finally, the result of simulation experiments on the large-scale device collaboration prototype system shows that the method can satisfy the performance requirements of the large-scale device collaboration system.

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1249 ◽  
Author(s):  
Alicja Winnicka ◽  
Karolina Kęsik ◽  
Dawid Połap ◽  
Marcin Woźniak ◽  
Zbigniew Marszałek

Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system model for managing tasks in smart homes using multi-agent solutions. The proposed solution organizes work and distributes tasks to individual family members. An additional advantage is the introduction of gamification, not only between household members, but also between families. The solution was tested to simulate the entire solution as well as the individual components that make up the system. The proposal is described with regard to the possibility of implementing smart homes in future projects.


2014 ◽  
Vol 610 ◽  
pp. 695-698
Author(s):  
Qian Tao ◽  
Bo Pan ◽  
Wen Quan Cui

In recent years, the rapid development of cloud computing brings significant innovation in the whole IT industry. For the local tasks scheduling on each computational node of the top model of weapon network, an open task scheduling framework was introduced a task accept control scheme based on the tasks based on load balancing, quality of service (QoS) and an improved constant bandwidth server algorithm was presented. The result of simulation shows that the scheduling policies can improve the schedule speed when the number of tasks increases and can meet the demand better for the real time requirementsof the tactical training evaluation system for complexity and Large-scale.


2012 ◽  
Vol 263-266 ◽  
pp. 3125-3129
Author(s):  
Li Ping Du ◽  
Ying Li ◽  
Guan Ning Xu ◽  
Fei Duan

The rapid development of internet of things puts forward urgent needs for security. The security system must be studied to adapt to the characteristics of the internet of things. The micro- certificate based security system for internet of things takes full account of the security characteristics of things, and uses the symmetric cryptographic algorithms and security chip technology. This security system can meet the security requirements for large-scale sensor’s authentication, signification and encryption/decryption in internet of things, and improve the security performance of internet of things greatly.


2013 ◽  
Vol 10 (4) ◽  
pp. 82-101 ◽  
Author(s):  
Buqing Cao ◽  
Jianxun Liu ◽  
Mingdong Tang ◽  
Zibin Zheng ◽  
Guangrong Wang

With the rapid development of Web2.0 and its related technologies, Mashup services (i.e., Web applications created by combining two or more Web APIs) are becoming a hot research topic. The explosion of Mashup services, especially the functionally similar or equivalent services, however, make services discovery more difficult than ever. In this paper, we present an approach to recommend Mashup services to users based on usage history and service network. This approach firstly extracts users' interests from their Mashup service usage history and builds a service network based on social relationships information among Mashup services, Web application programming interfaces (APIs) and their tags. The approach then leverages the target user's interest and the service social relationship to perform Mashup service recommendation. Large-scale experiments based on a real-world Mashup service dataset show that the authors' proposed approach can effectively recommend Mashup services to users with excellent performance. Moreover, a Mashup service recommendation prototype system is developed.


1992 ◽  
Vol 338 (1285) ◽  
pp. 329-334

The purpose of this contribution is to summarize the papers and discussions, to bring out the highlights, and to focus on outstanding problems and uncertainties. Sixteen years ago Sir Vivian Fuchs and I organized a similar meeting on research in the Antarctic. Since then there has been an explosion of interest in all branches of environm ental science in this region. There have been major advances in theory, and improved technology made possible by the rapid development of electronics has made data collection and analysis easier; but above all the difference between the two meetings is in the development of large-scale numerical modelling as a tool. Also there has been an increasing realization of the value of comparisons between the two polar regions, which is brought out by the contributions to this meeting. The meeting has been distinguished by the quality of the science, the clarity of exposition and excellent visual presentations. It is also striking how much crossfertilization between disciplines has occurred


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Yonglin Leng ◽  
Zhikui Chen ◽  
Yueming Hu

The rapid development of the Internet of Things causes the dramatic growth of data, which poses an important challenge on the storage and quick retrieval of big data. As an effective representation model, RDF receives the most attention. More and more storage and index schemes have been developed for RDF model. For the large-scale RDF data, most of them suffer from a large number of self-joins, high storage cost, and many intermediate results. In this paper, we propose a scalable two-level index scheme (STLIS) for RDF data. In the first level, we devise a compressed path template tree (CPTT) index based on S-tree to retrieve the candidate sets of full path. In the second level, we create a hierarchical edge index (HEI) and a node-predicate (NP) index to accelerate the match. Extensive experiments are executed on two representative RDF benchmarks and one real RDF dataset in IoT by comparison with three representative index schemes, that is, RDF-3X, Bitmat, and TripleBit. Results demonstrate that our proposed scheme can respond to the complex query in real time and save much storage space compared with RDF-3X and Bitmat.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Weiping Ouyang ◽  
Chunguang Ma ◽  
Guoyin Zhang ◽  
Keming Diao

The rapid development of the Internet of Things has made the issue of privacy protection even more concerning. Privacy protection has affected the large-scale application of the Internet of Things. Fully Homomorphic Encryption (FHE) is a newly emerging public key encryption scheme, which can be used to prevent information leakage. It allows performing arbitrary algebraic operations on data which are encrypted, such that the operation performed on the ciphertext is directly transformed into the corresponding plaintext. Recently, overwhelming majority of FHE schemes are confined to single-bit encryption, whereas how to achieve a multibit FHE scheme is still an open problem. This problem is partially (rather than fully) solved by Hiromasa-Abe-Okamoto (PKC′15), who proposed a packed message FHE scheme which only supports decryption in a bit-by-bit manner. Followed by that, Li-Ma-Morais-Du (Inscrypt′16) proposed a multibit FHE scheme which can decrypt the ciphertext at one time, but their scheme is based on dual LWE assumption. Armed with the abovementioned two schemes, in this paper, we propose an efficient packed message FHE that supports the decryption in two ways: single-bit decryption and one-time decryption.


Author(s):  
Prakash S. Prasad ◽  
Rashi Chouksey

By 2020, over fifty billion devices are connected through radio communications. In conjunction with the rising of the Internet of Things (IOT) market, low power wide space networks (LPWAN) became a most well-liked low-rate long-range radio communication technology. Sigfox, LORA, and NB-IoT are the 3 leading LPWAN technologies that vie for large-scale IoT preparation. This provides a comprehensive and comparative study of these technologies that perform economical solutions to connect sensible, autonomous, and heterogeneous devices. We have a tendency to show that Sigfox and LORA are advantageous in terms of battery lifespan, capacity, and cost. Meanwhile, NB-IoT offers advantages in terms of latency and quality of service. To boot, we have a tendency to analyze the IOT success factors of these LPWAN technologies.


Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 330
Author(s):  
Haifeng Shuai ◽  
Rui Liu ◽  
Shibing Zhu ◽  
Changqing Li ◽  
Yi Fang

With the rapid development of land mobile satellite (LMS) systems, large scale sensors and devices are willing to request wireless services, which is a challenge to the quality of service requirement and spectrum resources utilization on onboard LMS systems. Under this situation, the non-orthogonal multiple access (NOMA) is regarded as a promising technology for improving spectrum efficiency of LMS systems. In this paper, we analyze the ergodic capacity (EC) of NOMA-based multi-antenna LMS systems in the presence of imperfect limitations, i.e., channel estimation errors, imperfect successive interference cancellation, and co-channel interference. By considering multiple antennas at the satellite and terrestrial sensor users, the closed-form expression for EC of the NOMA-based LMS systems with imperfect limitations is obtained. Monte Carlo simulations are provided to verify theoretical results and reveal the influence of key parameters on system performance.


2021 ◽  
Vol 9 (3) ◽  
pp. 031-037
Author(s):  
Godson S Olusanya ◽  
Charles Okunbor ◽  
Oghenetega Avwokuruaye

The internet being a major tool in the globalization of the world has made it possible for human beings to interact, share and access information on a very large scale without distance being a barrier. Computer systems with broad functionalities like the desktop, laptop and smart phone are connected through the internet. But going beyond just connecting computer systems to the internet, the Internet of Things connects devices and objects together and to the internet. The Internet of Things (IoT) is a developing paradigm that makes communication and gathering of data possible between electronic devices, objects and sensors through internet technology, with the aim of improving quality of life. IoT is seen to be a big player in the networking of future devices and the internet but has some challenges that needs to be addressed. This paper through extensive literature review, highlighted the progress made by IoT, its applications in different sectors, the challenges faced by this technology for its full actualization and also its future projections.


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