Optimal Shortest Path Selection by MSFO-SCNN for Dynamic Ring Routing Protocol in WSN

At remote location, the faster data delivery and conservation by scalable WSN is a challenging task since the human mediation is impossible. However, to meet the desired properties different technique have been evolved but some limitations are occurred like limited transmission range, high energy consumption and so on. Thus in this work we have developed ring routing protocol based on Modified Sailfish optimization (MSFO) and Shallow Convolution Neural Network (SCNN) (MSFO-SCNN) for dynamic network. In order to find the best path MSFO method is used and for training the optimized MSFO method, SCNN method is used. For choosing SCNN in MSFO is it have less number of complex network layer to train accurately. MATLAB platform is used to implement this work and the performance is taken in terms of end to end delay, lifetime of network, energy consumption, throughput, and latency.