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|Title:||WSN-based dynamic visual performance management system||Authors:||Neo, Jason Jin Sheng||Keywords:||DRNTU::Engineering||Issue Date:||2014||Abstract:||A wireless sensor network with control elements using the low cost and opensource Arduino platform is designed and implemented in this di ssertation. The concept of the Arduino was introduced in 2005 and now extends to a wide variety of microcontroller boards and add-ons such as shields to suit di ffe rent requirements and applications. The Arduino Uno, Fio, Wireless Proto and Ethernet shi eld s are used in this proj ect. Wireless communications are achieved using the XBee module which runs the Zigbee protocol, a personal area network protocol intended for wireless sensor networks. Various sensors of light, temperature and occupancy were tested and achieved mixed result s. The temperature and occupancy sensors worked well and are found to be suitable for this project, but the light sensor on the other hand does not perform well due to its inconsistency. The Arduino Fio was used as the platform for the sensor nodes and data validation was performed to verify the accuracy of the collected data. Control elements were also introduced into the wireless sensor network to enable the option of controlling devices such as the air-conditioning, lights and blinds. A mock-up model was constructed in the first phase of the project and the LEOs and blind were successfully realized and controlled by the Arduino. For the real-life test bed, a commercial motorized blind solution was purchased and installed, and the accompanying remote was modified to enable the Arduino to bypass the physical buttons to control the blind. The base station forms the core of the wireless sensor network and is required to send data into a database and to be able to receive control instructions from a server. This is achieved by connecting it to the internet using the Ethernet shield . The Arduino platform proves to be reliable overall for this application purpose and further development can be conducted in the future to improve and extend its functionality.||URI:||http://hdl.handle.net/10356/64773||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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Updated on Nov 23, 2020
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