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A Score-Based Game Approach Considering Resource Heterogeneity and Social Dynamics for Traffic Optimization in Social
Muhammad Muneer Umar1, Ali F Almutairi2,3, Shafiullah Khan4
1Institute of Computing, Kohat University of Science & Technology, Kohat 26000, Pakistan.
This study introduces a new method to improve cooperation in Social Internet of Things (SIoT) networks by incentivizing nodes using a virtual currency game. The approach enhances network performance by considering social and behavioral factors alongside topology.
Area of Science:
- Computer Science
- Network Engineering
- Artificial Intelligence
Background:
- Social Internet of Things (SIoT) networks integrate human-like social concepts for enhanced scalability.
- Selfish behavior among nodes, driven by social dissimilarity, can degrade SIoT network performance.
- Existing node stimulation mechanisms neglect crucial social and behavioral factors in SIoT.
Purpose of the Study:
- To propose a novel node stimulation scheme for SIoT networks.
- To incorporate social, behavioral, and topological characteristics into node stimulation.
- To enhance cooperation and overall network performance in SIoT.
Main Methods:
- A virtual currency-based game incentivizes cooperation among SIoT nodes.
- The mechanism considers proximity, energy, buffer size, relay correlation, and data quality.
- Social factors like preference, importance, history, and vital data transfer probability are integrated.
Main Results:
- The proposed mechanism significantly improves energy efficiency.
- Enhanced throughput and packet delivery ratio were observed.
- Reduced end-to-end delay compared to existing approaches.
Conclusions:
- The novel stimulation scheme effectively boosts cooperation in SIoT networks.
- The integration of social and behavioral factors leads to superior network performance.
- This approach offers a robust solution for optimizing SIoT operations.

