A potential solution to the communication difficulties associated with the scalability of multi-core computers is wireless network on chip (WiNoC). However, when using WiNoCs, energy consumption becomes a limitation. To lower the energy consumption of WiNoCs, a number of techniques are suggested, including the use of energy-efficient transceivers and the adaptive disabling of power-hungry modules. In order to lower the energy consumption of WiNoC communication, an integrated source code with adaptive low-density parity check encoding (LDPC) is proposed in this study. SNR estimation is used to make this combined source and channel coding adaptable. In order to decrease communication power consumption, the suggested strategy boosts effective network use and prevents unnecessary decoding processes. Energy consumption is used to assess how well the suggested adaptive joint source coding (LDPC) performs. When compared to current practices, the suggested method can lower power consumption by 4.2%..

NOC, Encoding, SNR, LDPC