Author(s):  
Anass Lekbich ◽  
Abdelaziz Belfqih ◽  
Tayeb Ouaderhman ◽  
Jamal Boukherouaa ◽  
Chaimae Zedak

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Sun-Young Ihm ◽  
Aziz Nasridinov ◽  
Young-Ho Park

A rapid development in wireless communication and radio frequency technology has enabled the Internet of Things (IoT) to enter every aspect of our life. However, as more and more sensors get connected to the Internet, they generate huge amounts of data. Thus, widespread deployment of IoT requires development of solutions for analyzing the potentially huge amounts of data they generate. A top-kquery processing can be applied to facilitate this task. The top-kqueries retrievektuples with the lowest or the highest scores among all of the tuples in the database. There are many methods to answer top-kqueries, where skyline methods are efficient when considering all attribute values of tuples. The representative skyline methods are soft-filter-skyline (SFS) algorithm, angle-based space partitioning (ABSP), and plane-project-parallel-skyline (PPPS). Among them, PPPS improves ABSP by partitioning data space into a number of spaces using hyperplane projection. However, PPPS has a high index building time in high-dimensional databases. In this paper, we propose a new skyline method (called Grid-PPPS) for efficiently handling top-kqueries in IoT applications. The proposed method first performs grid-based partitioning on data space and then partitions it once again using hyperplane projection. Experimental results show that our method improves the index building time compared to the existing state-of-the-art methods.


Author(s):  
Felipe Viel ◽  
Luis Augusto Silva ◽  
Valderi Leithardt ◽  
Gabriel Villarubia González ◽  
Raimundo Celeste Ghizoni Teive ◽  
...  

The evolution and miniaturization of the technologies for processing, storage, and communication have enabled computer systems to process a high volume of information and make decisions without human intervention. Within this context, several systems architectures and models have gained prominences, such as the Internet of Things (IoT) and Smart Grids (SGs). SGs use communication protocols to exchange information, among which the Open Smart Grid Protocol (OSGP) stands out. In contrast, this protocol does not have integration support with IoT systems that use some already consolidated communication protocols, such as the Constrained Application Protocol (CoAP). Thus, this work develops the integration of the protocols OSGP and CoAP to allow the communication between conventional IoT systems and systems dedicated to SGs. Results demonstrate the effectiveness of this integration, with the minimum impact on the flow of commands and data, making possible the use of the developed CoAP-OSGP Interface for Internet of Things (COIIoT).


2016 ◽  
Vol 23 (5) ◽  
pp. 90-98 ◽  
Author(s):  
Sanjana Kadaba Viswanath ◽  
Chau Yuen ◽  
Wayes Tushar ◽  
Wen-Tai Li ◽  
Chao-Kai Wen ◽  
...  

2020 ◽  
Author(s):  
Jinxiong Zhao ◽  
Ming-Ming Xiang ◽  
Xi Song ◽  
Chen Tian ◽  
Yong Yang

2012 ◽  
Vol 566 ◽  
pp. 448-453 ◽  
Author(s):  
Jian Hua Wang ◽  
Yan Yu ◽  
Wei Zhang ◽  
Dan Yu

Signal device management is an important mission to ensure the safe operation of the railway, and it is a definite orientation for the future development to apply the Internet of Things technology in railway signal device management. This article introduces the relevant concepts of the Internet of Things, and analyzes the current information construction level of China's railway signal device management. Based on actual requirements on railway signal device management, it gives the implementation plans of management platform based on the Internet of Things technology and as well analyzes the key technology. And it provides a reference for the application of the Internet of Things in the railway signal device management.


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