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|Title:||Forest Fire Detection With Wireless Sensor Networks|
wireless sensor networks
mixed signal microprocessor
|Abstract:||The scope of this thesis is the theoretical construction and simulation of operation, of a network of standalone computing units, wirelessly connected to each other, targeting the full monitoring and protection of a forest area from fires. This network will be composed of small, low cost and low power consuming modules with onboard sensors. Such networks are known as Wireless Sensor Networks (WSN), the nodes of which are called motes. The basic structural module will be the embedded platform CM5000 by Advanticsys, built in accordance with the open source platform TelosB/Tmote Sky of the University of California, Berkeley. It is built around the MSP430 mixed signal microprocessor by Texas Instruments and the CC2420 transceiver by Chipcon, while it embeds temperature, humidity and light sensors.The programming of the motes will be done with the help of TinyOS, an open source operating system, specifically designed to program embedded systems and written in a dialect of the C programming language, called nesC (network embedded systems C). TinyOS will be installed on a Linux distribution. For ease of use and compatibility reasons, Ubuntu 13.04 was chosen. For the simulation of the network’s operation, the simulator Cooja and within it MSPSim, will be used.|
|Appears in Collections:||Διπλωματικές Εργασίες - Theses|
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