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Semantic data extraction over MQTT for IoTcentric wireless sensor networks

Published on Jan 1, 2016 in IOT (The Internet of Things)
· DOI :10.1109/IOTA.2016.7562727
Satyavrat Wagle1
Estimated H-index: 1
(Vishwakarma Institute of Technology)
Abstract
  • References (2)
  • Citations (8)
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References2
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#1Jayavardhana Gubbi (University of Melbourne)H-Index: 15
#2Rajkumar Buyya (University of Melbourne)H-Index: 105
Last. Marimuthu Palaniswami (University of Melbourne)H-Index: 47
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Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers the ability to measure, infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT), wherein sensors and actuators blend seamlessly with the environment around us, and the information is shared across plat...
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#1Cleber Matos de Morais (UFPE: Federal University of Pernambuco)H-Index: 1
#2Djamel Sadok (UFPE: Federal University of Pernambuco)H-Index: 18
Last. Judith Kelner (UFPE: Federal University of Pernambuco)H-Index: 16
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This work surveys Internet of Things (IoT) experimental research published since 2015. We summarize the IoT state of the art during the last 2 years and extract important data that we apply to enhance the analysis of IoT solutions. The IoT scenario presents a promising universe to data analysis. This raises a number of questions: which are its most popular applications? What is the definition of scale in an IoT application? What sensors are more often used and for what IoT applications? How can ...
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#1Daniel Stock (Fraunhofer Society)H-Index: 3
#2Daniel Schel (Fraunhofer Society)H-Index: 3
Last. Thomas Bauernhansl (Fraunhofer Society)H-Index: 11
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Cyber-Physical Production Systems (CPPS) are Cyber-Physical Systems (CPS), which are applied in manufacturing environments to carry out production related tasks, thus turning them into smart manufacturing environments. They are the evolution of combined regular manufacturing equipment, embedded computing devices and distributed computing functionality, which has been sparked by technical advances in information and communication technology (ICT) and progressively networked production. One of the...
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#1Jorge E. Gómez (UCO: University of Córdoba (Spain))H-Index: 4
#2Alexander Fernandez (UCO: University of Córdoba (Spain))H-Index: 1
Last. Miguel SanchezH-Index: 1
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This paper shows the development of a small crop monitoring system through the measurement of environmental factors and the use of the Internet of Things (IoT). The purpose of this research article is the deployment of a system that allows the collection of data generated by environmental factors included in crop growth. Its objective is to monitor the processes in small-scale crops, as elements that ensure the food security of certain rural populations. This system allows the collection, intera...
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#1Saša Pešić (University of Novi Sad)H-Index: 1
#2Milenko TosicH-Index: 4
Last. Dragan BoskovicH-Index: 3
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Complexity of IoT systems and tasks that are put before them require shifts in the way resources and service provisioning are managed. The concept of fog computing is introduced so as to enhance IoT systems scalability, reactivity, efficiency and privacy. In this paper we present fog computing solution with context aware decision-making procedures distributed between IoT cloud platform and IoT gateways. The solution performs decision-making for smart actuation, based on analysis of sensory data ...
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#1V. Chinnalagi (Mount Zion College of Engineering and Technology)
#2R. Murugeswari (Mount Zion College of Engineering and Technology)
Last. J. VijithaAnanthi (Mount Zion College of Engineering and Technology)
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Wireless sensor networks (WSN) are also called wireless sensor and actuator networks. These networks are used to monitor physical or environmental conditions like temperature, sound, pressure, etc. The internet of things is the network of physical objects such as devices, vehicles, buildings, etc, which are embedded with electronics, software, sensors that are used to collect and exchange data. Some of the issues in this paper are medium access scheme, localization, deployment, network layer, QO...
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#1Vijitha Ananthi J (Mount Zion College of Engineering and Technology)
#2V. Chinnalagi (Mount Zion College of Engineering and Technology)
Last. K. Rajalakshmi (Mount Zion College of Engineering and Technology)
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Wireless sensor networks (WSN) are used to monitor physical or environmental conditions like temperature, sound, pressure, etc. Due to the monitoring process, it requires more energy and power. But the major drawback is energy consumption and it is difficult to maintain the energy level of each sensor node. To overcome these issues, proposed a new algorithm called SSNC (smart sensor network Using Clustering approach). This approach helps to avoid the energy consumption by replacing the dead clus...
#1Jorge E. Gómez (UCO: University of Córdoba (Spain))H-Index: 4
#2Fabricio Marcillo (Universidad Técnica Estatal de Quevedo)H-Index: 1
Last. Velssy L. Hernández (UCO: University of Córdoba (Spain))H-Index: 2
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Abstract: The purpose of the Internet of Things (IoT), is to make permanent and inclusive the access and interaction with a great variety of devices connected to Internet: the network of networks. The Internet of Things has a lot of applications as for example those for household, vigilance, sensor monitoring, actuators, intelligent displays, vehicles, among others. This in turn allows for the potential development of a large number of applications consuming information coming from these connect...
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Dec 1, 2016 in ISSPIT (International Symposium on Signal Processing and Information Technology)
#1Jongmin Lee (ASU: Arizona State University)H-Index: 4
#2Michael Stanley (NXP Semiconductors)H-Index: 2
Last. Cihan Tepedelenlioglu (ASU: Arizona State University)H-Index: 26
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Interpreting sensor data in Internet-of-Things applications is a challenging problem particularly in embedded systems. We consider sensor data analytics where machine learning algorithms can be fully implemented on an embedded processor/sensor board. We develop an efficient real-time realization of a Gaussian mixture model (GMM) for execution on the NXP FRDM-K64F embedded sensor board. We demonstrate the design of a customized program and data structure that generates real-time sensor features, ...
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#1Ravi Kishore Kodali (NITW: National Institute of Technology, Warangal)H-Index: 9
#2Kopulwar Shishir Mahesh (NITW: National Institute of Technology, Warangal)H-Index: 3
Technology is great growling engine of the change and Internet of Things (IoT) is the backbone of such revolutionary engines. Basically, in the real world the things having sensor capability, sufficient power supply and connectivity to internet makes field like Internet of Things (IoT) possible. For such rapid growing technology, it is the necessity to have very light, inexpensive and minimum bandwidth protocol like Message Queuing Telemetry Transport (MQTT) Protocol. Because of such non-establi...
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