Performance Analysis of Efficient Resource Management based on Edge Computing with LEO Satellite
Implementation plan:
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Step 1: Initially we designed the LEO satellites Simulink Model with satellite gateway, ground-based stations, Edge computing satellites.
Step 2: Next we perform the Resource allocation process, In this process the resources are allocated by using k-means with PSO (particle swarm optimization).
Step 3: Next, Dynamic adjustment, In this process the lowering latency and improving reaction times by using Density-Based Spatial Clustering of Applications with Noise (DBSCAN).
Step 4: Next, we perform the ECS collaboration process, In this process the LEO satellites, with their worldwide coverage and short communication delays, provide an opportunity to extend connectivity to remote areas.
Step 5: The performance of this research is evaluated based on the following performance metrics,
• Base Station Transmission Power (dBm) Vs Bit Error Rate
• Density of Users Vs Energy Efficiency (bit/J)
• Time Vs Packet Error Rate (%)
• No of LEO Satellites Vs Sum Utility of LEO Satellites (bps)
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Software requirements:
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1. Tool: Matlab R2020a or and above/Simulink
2. Operating System: Windows 10-(64-bit)
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Note:-
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We make a simulation based process only.
We perform the EXISTING process based on the REFERENCE 1 Title: – A Cooperative Routing Scheme Using Inter-Satellite Links to Assist Data Downloading for LEO Satellite Networks
