Operator Allocation in Borealis with Integrated Sensor Network Query Processors

Author(s):  
W. Lindner

2021 ◽  
Author(s):  
Jimmy Armas ◽  
Aarón Israel Flores La Chira ◽  
Ricardo Enrique Malqui Torres ◽  
Paola A. Gonzalez


Author(s):  
Michalis Kalochristianakis ◽  
Vasileios Gkamas ◽  
Georgios Mylonas ◽  
Sotiris Nikoletseas ◽  
Jose Rolim ◽  
...  


2011 ◽  
Vol 32 (10) ◽  
pp. 4931-4935 ◽  
Author(s):  
W. Hufenbach ◽  
F. Adam ◽  
W.-J. Fischer ◽  
A. Kunadt ◽  
D. Weck


2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Kalyan Das ◽  
Satyabrata Das ◽  
Rabi Kumar Darji ◽  
Ananya Mishra

The sensor cloud is a combination of cloud computing with a wireless sensor network (WSN) which provides an easy to scale and efficient computing infrastructure for real-time application. A sensor cloud should be energy efficient as the life of the battery in the sensor is limited and there is a huge consumption of energy in the data centre in running the servers to provide storage. In this paper, we have classified energy-efficient techniques for sensor cloud into different categories and analyzed each technology by using various parameters. Usage percentage of each parameter for every technology is calculated and for all technologies on average is also calculated. From our analysis, we found that most of the energy-efficient techniques ignore quality of service (QoS) parameters, scalability, and network lifetime. Multiparameter optimization including other QoS parameters along with energy may be the future direction of research. Our study will be helpful for researchers to get information regarding current methods used for an energy-efficient sensor cloud and also to build advanced systems in the future.



Author(s):  
K.-U. Roscher ◽  
H. Gratz ◽  
A. Heinig ◽  
W.-J. Fischer ◽  
G. Pfeifer ◽  
...  


2007 ◽  
Vol 24 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Lindsay A. Seders ◽  
Caitlyn A. Shea ◽  
Michael D. Lemmon ◽  
Patricia A. Maurice ◽  
Jeffrey W. Talley


Author(s):  
José Enrique Ramón ◽  
José Manuel Gandía-Romero ◽  
Manuel Valcuende ◽  
Román Bataller

<p class="Abstracttext-VITRUVIO">Corrosion is one of the main triggering factors affecting the service life and durability of structures. Several methods are used for corrosion studies but electrochemical techniques are the most commonly applied. Corrosion processes monitoring and control by means of non-destructive techniques, such as the implementation of embedded sensors, has been the target of many works.  It is possible to obtain relevant information of structural corrosion processes in real time. This document describes a system including specific equipment and which allows obtaining relevant information about these corrosion processes. This system is formed by a sensor network. There are several types of electrodes, which are distributed throughout the structure under study and a specific equipment developed by the research group, which is used to determine pertinent parameters such as the corrosion potential (E<sub>corr</sub>) and the corrosion density (i<sub>corr</sub>) by applying sequences of potentiostatic pulses. The system allows to reliably determine the corrosion rate in different areas of the structure. The sensor, due to its configuration, provides information of a specific area of the structure, but on the other hand it is involved in the galvanic events that can occur along the structure by differential aeration, galvanic cells, etc. because the sensor is not isolated from the structure.  This system also procures information of buried and submerged elements. Besides, it is possible to obtain information related to temperature, concrete resistance. The system includes specific potentiometric sensors to monitor chloride access and carbonatation processes.</p>



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