An Enhanced Methodology for Energy-Efficient Interdependent Source-Channel Coding for Wireless Sensor Networks

The major limitations faced in Wireless Sensor Networks (WSNs) are high power consumption and reliability degradation. An intensified methodology for the energy efficient Interdependent Source-Channel Coding scheme is presented in this paper, which ensures robust communication with compression and reduced energy consumption. The scheme achieves required bit error rate (BER) in addition to reduced bits transmission, as opposed to the standard error correction schemes, in which redundancy is added to achieve a specific BER. The energy overheads of typical error correction schemes are also brought down and hence, reduces the total energy consumption. The methodology is studied, and BER performance and energy efficiency are validated in the context of MicaZ sensor platform, in AWGN channel condition, analytically and by simulation. Our methodology for the characterization M2{30, 7, 2, 5} attains 43% decrease in the total energy consumption, a coding gain of 4.33 dB and compression of 26.2% compared to uncoded transmission.