ABSTRACT A mobile ad hoc network (MANET) is a collection of mobile nodes that connect to one another over wireless networks. A number of researches have been suggested for enhancing the reliability among routing nodes, trust management, cryptographic systems application, and centralized routing decisions. Nevertheless, most of the routing approaches are challenging to implement in practical scenarios because it is problematic to find out the malevolent activities of the routing nodes. Therefore, a blockchain (BC) and dual‐discriminator conditional generative adversarial network optimized with momentum search algorithm (TDRS‐BCDCGAN‐MSA‐MANET) is proposed for delivering the reliable distributed routing‐based information using BC token transactions. The aim is to demonstrate an efficient data transmission method that creates tokens for packet stream admission using a secret key that is provided to each routing mobile node. The proof of continuous work (PoCW) consensus–based BC technology is used to provide the reliable routing information. Then dual‐discriminator conditional generative adversarial network (DCGAN) is employed for identifying optimal routes in MANET. Then momentum search algorithm (MSA) is proposed for enhancing the weight parameters of DCGAN for improving the efficiency of best route identification. The simulation of the proposed system is performed in network simulator‐2 and the metrics like delay, average latency, average energy consumption, and throughput of BC token transactions are evaluated. The TDRS‐BCDCGAN‐MSA‐MANET approach has attained 24.6%, 21.7%, and 16.8% lower delay and 41.087%, 39.87%, and 36.85% low energy consumption than the existing models.
Nithya et al. (Thu,) studied this question.