Intelligent Buffer Management Policy in Post Disaster Network Using DTN

Due to limited resources, lengthy and unpredictable delays, network separation, and high error rates, Delay Tolerant Networks (DTN) place a high priority on efficient message arrangement and storage. Ineffective memory management practices lead to issues such as the loss of crucial data, decreased delivery ratios, and higher overhead. Research in recent years has concentrated on memory management strategies to minimize overhead and increase the delivery ratio for life-saving signals. We update the forwarding strategy for post-disaster response networks in this research and test it using several protocols (such as Epidemic, Spray and Wait, and PRoPHET). Performance measurements for the policy include throughput, latency, and the flow of high-priority data. The single parameters used by existing tactics make it impossible to get decent outcomes. In this study, we provide enhancements across several parameters to effectively use memory and boost performance.