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Research Article Open Access
Wireless sensor networks (WSN) offer an increasingly attractive mode of data gathering in distributed system architectures and dynamic access via wireless connectivity. ECC provides coding gain, resulting in transmitter energy savings, at the cost of added decoder power consumption. The main challenge in deploying WSN is to improve energy-efficiency and lifetime of the nodes while keeping communication reliability. The energy efficiency of error control schemes should be considered because of the strict energy constraints of wireless sensor networks. Wireless sensor networks require simple and facile error control schemes because of the low complexity request of sensor nodes. With the ever increasing data throughputs required by communication application, there is an actual need for new effective architectures (small area and high speed) for circuit parts dedicated to error detecting/correcting coding (EDC/ECC).The Convolutional Encoder and Decoder for Wireless Sensor Networks are studied and the right configurations for the encoder will be selected and a Parallel/Pipelined Architecture for the Convolutional Encoder will be explored and implemented in an FPGA platform in order to provide a low power and fast encoding scheme and the best architecture will presented.
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