m estudo sobre o uso da codificação de canal para otimização do consumo de energia em redes de sensores

AUTOR(ES)

Vanderlei Zarnicinski

DATA DE PUBLICAÇÃO

2007

RESUMO

Wireless Sensor Networks (WSN) are a set of tiny electronic devices, which monitor physical phenomena over a specific region and send this data to a sink node. The sensor nodes connect to the other ones in the range of the transmitted signal, establishing a collaborative network operation. The collected data are forwarded to other nodes until the sink is reached, what means several hops among the nodes. Besides the radio transceiver, a sensor node contains an event collecting module, a processing unit, which runs the sensor operation code and a power supply module, usually battery based. The energy consumption is not the same for every modules, being the radio transceiver that normally presents the heaviest demand, although it varies according the transmitted signal power. The radio channel between the nodes may experience several impairments, such as random noise, interference and fading, degrading the received signal and shortening its range, making the data reception difficult. Therefore it may occur many retransmissions and increase the sensor energy consumption, what can drain the battery earlier and reduce the sensor or even the network lifetime. One of the ways to reduce the channel impairment effects is by coding the data through a error correction code, allowing the corrupted information recovering at reception, although this means more processing power to code and decode. In this work we investigate the transmission and decoding energy consumption tradeoff, employing convolutional codes with several complexities and performances. As result of this investigation, we can identify and choose the most suitable code complexity for each sensor node, in order to maximize the sensor network lifetime.

ASSUNTO(S)

teoria da codificação ciencia da computacao energia - consumo

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