一种基于分数的游戏方法,考虑资源异质性和社会动态,以优化社交物联网网络中的流量
Muhammad Muneer Umar1, Ali F Almutairi2,3, Shafiullah Khan4
1Institute of Computing, Kohat University of Science & Technology, Kohat 26000, Pakistan.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了一种新的方法,通过使用虚拟货币游戏激励节点来改善物联网 (SIoT) 网络中的合作. 该方法通过考虑社会和行为因素以及拓学来提高网络性能.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 人工智能的人工智能
背景情况:
- 社交物联网 (SIoT) 网络整合了类似人类的社会概念,以提高可扩展性.
- 由社会差异驱动的节点之间的自私行为可以降低SIoT网络的性能.
- 现有的节点刺激机制在SIoT中忽视了关键的社会和行为因素.
研究的目的:
- 为SIoT网络提出一个新的节点刺激方案.
- 将社会,行为和拓特征纳入节点刺激中.
- 加强在SIoT中的合作和整体网络性能.
主要方法:
- 一个基于虚拟货币的游戏激励SIoT节点之间的合作.
- 该机制考虑了近距离,能量,缓冲区大小,继电器相关性和数据质量.
- 整合了诸如偏好,重要性,历史和重要数据传输概率等社会因素.
主要成果:
- 拟议的机制显著提高了能源效率.
- 观察到提高了吞吐量和数据包交付比率.
- 与现有方法相比,减少了端到端延迟.
结论:
- 新的刺激计划有效地促进了SIoT网络中的合作.
- 社会和行为因素的整合导致了优越的网络性能.
- 这种方法为优化SIoT操作提供了一个强大的解决方案.
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