Improving the System Performance by Decreasing the Channel Equalization by Implementing Block Coding Algorithm in WSN
Ritika Karnani, Masood Aslam · 2023
Wireless Sensor Networks (WSNs) are used in a variety of applications ranging from environmental monitoring to military reconnaissance. The energy efficiency and latency constraints of WSN s often require them to work in harsh environments with poor signal quality. The channel equalization techniques used to overcome low signal-to-noise ratios are usually complex and have a high computational burden. This can ultimately increase the latency and reduce the battery life of the system. In this study, a block coding scheme is proposed for reducing the channel equalization overhead in WSN s. The proposed scheme uses group-wise channel coding instead of individual codes for each node in the network for improved performance. The block coding scheme is designed to correct for frequency-selective fading of the radio waves. A comparison between the proposed scheme and traditional spread-spectrum algorithms is conducted to evaluate its efficiency. The simulation results show that the proposed block coding scheme significantly reduces the transmission latency and increases the throughput of the network while also improving the system performance. This can significantly reduce the operational costs associated with WSNs while simultaneously improving their reliability.