Performance Analysis of opportunistic networks routing protocols

Performance Analysis of opportunistic networks with novel routing protocols

Implementation Plan:
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Step 1: Initially, we constructed an Opportunistic Network with 100 nodes using ONE Simulator .

Step 2: Then, we simulate the network by configuring network data such as packet send/receive count, packet size, transmission time, path loss, and node position.

Step 3: Next, we perform Message Routing using the proposed STCESW-DSA (Stability–Aware Spray and Wait Routing Algorithm using Transmission Capacity Evaluation and Dynamic Adaptation) based on the collected data.

Step 4: Next, we secure message communication from selfish nodes using the proposed SORSI (Social-based Opportunistic Routing with Selfishness Detection and Incentive Mechanism) and Hierarchical Identity-Based Security (HIBS) algorithms.

Step 5: Finally, we plot performance for the following metrics:

5.1: Time (s) vs. Delivery Ratio (%)

5.2: Cumulative Probability vs. Average Latency (s)

5.3: Time (s) vs. Overhead Ratio (%)

Software Requirements:
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1. Development Tool: ONE Simulator (Java-based)

2. Operating System: Windows 10 (64-bit) or above

Note:
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1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

3) If the plan satisfies your requirement, Please confirm with us.

4) Project based on Simulation only.

We perform with an Existing Approach Ref 1 – Title: User-optimized data transmission scheduling based on edge community service in opportunistic social network

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