Proactive Delay Aware Self-scheduling Protocol (PDAS2P) for Edge Enabled Network Slicing in 6G Networks

The development of communication network connects all over the world in device driven technology through 6G.With the development of 6G defense, the problems in the Network of resources in edge computing cause latency dependencies.The main problem is switch-to-switch way has connection disappointment, and numerous packets can get lost.Along these lines, some kinds of connection quality checking and way recuperation plans are expected to conquer the connection disappointment.To propose a Proactive Delay Aware Self-Scheduling Protocol (PDAS2P) for Edge Enabled network slicing in 6G Networks.The proposed method initially analysis the Congestion Aware Neighbor Discovery (CAND) based on optimized energy levels in the node for efficient data transfer.Then the Hyper Intensive Link Stability Rate (HILSR) estimates table-driven routing information to stabilize the transmission route.Based on that estimation, the Pipelined Time Variant Transmission Rate (PTVTR) is calculated by transmission in each duty cycle to improve the transmission delays by assigning priorities on operative routing in multi-point consideration.Then Proactive Delay Aware Self-Scheduling Protocol (PDAS2P) is attained to the frequency limits of transmission rate to allocate the route and improve Quality of Service (QoS).The proposed 6G-QoS framework has been implemented in the 6G network communication-based scheduling.The simulation result throughput performance is 99% and routing performance is 99% for 100 nodes.It provides high accuracy of QoS prediction and has been validated by comparing the predicted QoS values with other methods like Energy Efficient Resource Allocation Model (EERAM), Main Task Off-loading Scheduling Algorithm (MTOSA), and Improved Multi Objective Cuckoo Search (IMOCS).