Developing WSN Throughput by using Signal to Noise Ratio and Validation Component

Abstract

Several real-world applications of Wireless sensor networks (WSNs) would necessitate a possible distribution of numerous sensor nodes. However, Quality of Service based route formation is a necessary component to evade the network traffic. Thus, the network throughput Performance is a significant factor to adjust to different application. This approach introduced a Developing WSN throughput by using Signal to Noise Ratio and validation component (DTVC) in WSN. The significant aim of this approach to improve the link quality intermediate nodes to participate in the routing path. Here, the Signal to Noise Ratio (SNR) measurement is utilized to decide the throughput to discover the best route selection. The Forecasted Transmission Count (FTC) parameter can assist to choose a better route between sender to receiver. This routing parameter can used to reduce the count of transmitter nodes and minimizes the complexity. Finally, the data packets send through the highest link quality node. Simulation outcomes show that the DTVC method increases the network throughput, and minimizes the delay in the WSN.