Grid Based Reliable Routing Algorithm with Energy Efficient in Wireless Sensor Networks Using Image Processing

In the research community, dependable data transmission implementation is still a necessity in wireless sensor networks. Cluster routing is notable for its minimal overhead and reliable data transferring in traditional sensor wireless networks, greedy and perimeter forwarding have not yet been used to fully realize this potential for providing effective route alternatives in the setting of barriers and voids. This study presents a new Grid-Based Reliable Routing method. This is performed by establishing virtual clusters on square grids and using the quality of intra- and inter-cluster communication to select the next hop to take, the simulation's outcome demonstrates that, while maintaining channel quality, the devised technique may advance the BS farther than the customary choices made by pertinent clustering route pick procedures. Additional simulation results demonstrate the improved energy economy, reduced latency, and dependability of the proposed method with randomly distributed barriers and nodes, The requirement for effective data transfer in remote sensor networks is currently being debated in the research sector. The result of the replication shows that, in comparison to the conventional options of significant grouping course pick activities, the developed plan may advance to the BS more quickly while maintaining channel quality. Additional recreation findings have shown the improved stability, reduced idle time, and increased energy efficiency of the given system randomly hubs and snagging dispersal.