Bayesian Optimization Neural Network Based Opportunistic Routing in WSN

Due to significant advancements in the field of wireless communications, wireless communication networks can now be installed in some of the most hostile settings, including underground mines, hurricane-affected areas, and volcanoes. Traditional routing is inefficient and often not possible in such challenging conditions due to a shortage of infrastructure. Moreover, the exponential growth of wirelessly interconnected devices has necessitated the development of a novel routing framework that can effectively exploit the potential of diverse wireless equipment. In order to tackle the problem of routing inside these networks, the opportunistic routing structure with a technique for optimization has been proposed and developed in the most recent works, permitting them to circumvent the limitations imposed by conventional routing and enhancing the performance of currently available dynamic heterogeneous wireless networks. We conduct a literature review on opportunistic routing because of the significant attention paid to this novel concept over the past decade.