Trust-Based Beacon Node Localization Algorithm for Underwater Networks by Exploiting Nature Inspired Meta-Heuristic Strategies

Conventional underwater technologies were not able to provide authentication and proper visualization of unexplored ocean areas accommodate a wide range applications. The aforesaid face several challenges including decentralization, beacon node localization (for identification nodes), Internet Underwater Things (IoUTs) objects unreliable communication between purpose oriented IoT-enabled networks. Recently, new such as blockchain (BC) the IoUTs have been used reduce issues but there are still some research gaps; for example, messages acquisition significant impacts on many constrained resources, etc. Further, uncertainty acoustic environment itself become problems when designing trust-based framework IoUTs. In this research, hybrid BC-enabled (THBNL) is proposed employ secure strategy (BNL) mine localized nodes via enabled (HB2NL) algorithm. This helps merge two disciplines; it because follows nature bio inspired meta heuristics algorithms scheduling nodes. performance approach also evaluated different factors losses, packet delivery ratios, residual energy consumption waiting time analysis, These findings show that work done so far has successful in achieving required goals while remaining within system parameters.