Cross layered adaptive rate optimised error control coding for WSN

One of the major issues in wireless sensor network (WSN) is to reduce the energy consumption and ensuring the reliability of data. Error control is significant in WSN because of their severe energy constraints and the low power communication requirements. Here, we propose the cross layered adaptive rate optimized low-density parity check codes for WSN. The proposed algorithm uses the physical layer parameters such as coherence time of the channel, BER and SNR also the routing layer parameter such as demanded data rate to determine the rate of the LDPC coder. The performance of the algorithm is evaluated using parameters such as time taken for encoding the message bits and decoding time per iteration for various values of codeword length is analyzed. Besides the push model is trained to calculate the quantity of energy required for imparting and receiving n-bits using A mu AMPS-1 mote.