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'''Description:''' This tutorial focuses on presenting Multisensor Data Fusion Techniques for Wireless Sensor and Actuator networks. Advances in microelectromechanical systems technologies and wireless communications have enabled the construction of devices, called sensors, endowed with processing and communication capabilities, used to monitor physical quantities in an environment. Due to their small size and low production cost, tens, hundreds or thousands of such sensor nodes, powered by batteries, can be connected together to create a Wireless Sensor Network (WSN). Recent years have witnessed the emergence of the Shared/ Virtual Sensor and Actuator Networks, which instead of assuming an application-specific design, allow the sensing and communication infrastructure to be shared among multiple applications. With an increasing number of sharing applications, a growing amount of sensor-generated data will be produced, from which useful information can be extracted. However, wireless sensors and actuators commonly rely on batteries as their energy sources, whose replacement is undesirable or unfeasible. Therefore, in order to reduce the amount of data to be transmitted in the wireless channel, thus saving energy, Multisensor Data Fusion Methods (MDF) can be employed. | '''Description:''' This tutorial focuses on presenting Multisensor Data Fusion Techniques for Wireless Sensor and Actuator networks. Advances in microelectromechanical systems technologies and wireless communications have enabled the construction of devices, called sensors, endowed with processing and communication capabilities, used to monitor physical quantities in an environment. Due to their small size and low production cost, tens, hundreds or thousands of such sensor nodes, powered by batteries, can be connected together to create a Wireless Sensor Network (WSN). Recent years have witnessed the emergence of the Shared/ Virtual Sensor and Actuator Networks, which instead of assuming an application-specific design, allow the sensing and communication infrastructure to be shared among multiple applications. With an increasing number of sharing applications, a growing amount of sensor-generated data will be produced, from which useful information can be extracted. However, wireless sensors and actuators commonly rely on batteries as their energy sources, whose replacement is undesirable or unfeasible. Therefore, in order to reduce the amount of data to be transmitted in the wireless channel, thus saving energy, Multisensor Data Fusion Methods (MDF) can be employed. | ||
+ | During this tutorial, we will implement data fusion techniques on sensors using a web ide platform called COMFIT (http://comfit.labnet.nce.ufrj.br/). COMFIT is a webIDE for wireless sensor network developed by the presenter’s group. The participants will have access to the presentation material and source code produced. | ||
'''Prerequisites:''' General familiarity with probabilistic concepts such as random variables, probability distributions, density functions, conditional probabilities, and expectations. | '''Prerequisites:''' General familiarity with probabilistic concepts such as random variables, probability distributions, density functions, conditional probabilities, and expectations. |
Revision as of 09:32, 3 May 2016
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