基于环境感知和群智协同的机会传输研究

In opportunistic networks, lack of environmental adaptability and cooperation rules in existing incentive mechanisms seriously restricts the promotion of opportunistic synergy efficiency, and existing auxiliary information interaction methods also restrict the improvement of opportunistic transmission reliability. Therefore, the research is carried out from two perspectives: environmental perception and swarm intelligence collaboration, so as to design the opportunistic transmission trade models with environmental adaptability and the opportunistic transmission strategies with high reliability. Specifically, incentive mechanisms capable of environmental perception and trade models based on cooperation rules are designed, to promote node cooperation, regulate node behaviors and improve the opportunistic synergy efficiency; swarm intelligence is adopted to design auxiliary information gathering and diffusion method, to reduce passivity and blindness in opportunistic transmission; node tracking methods and multicast opportunistic routing methods are proposed with the help of node flow information, to improve the reliability of regional opportunistic transmission.

在机会网络中，缺乏环境适应性和合作规则的激励机制严重制约了机会协同效率的提高，而现有辅助信息的交互方式则制约了机会传输可靠性的提高。为此，本课题从环境感知和群智协同两方面对机会传输展开研究，设计具有环境适应性的机会传输交易模型和高可靠性机会传输策略。具体地，本课题设计环境感知的激励机制和建立基于合作规则的机会传输交易模型，以促进节点合作、规范节点行为，提高机会协同效率；提出基于群智的辅助信息收集和扩散方法，降低机会传输的盲目性和被动性；设计基于节点流的节点追踪方法和多播机会传输方法，以提高区域性机会传输的可靠性。

在机会网络中，缺乏环境适应性和合作规则的激励机制严重制约了机会协同效率的提高，而现有辅助信息的交互方式则制约了机会传输可靠性的提高。为此，本课题首先提出了一种兼顾平台和工人满意度的感知任务分配策略和合作规则，有效地提高了机会网络中节点环境感知的协同效率，并设计了一种基于斯塔克尔伯格博弈的激励机制，在平台预算有限的情况下提高了用户的参与度和协同效率；然后，本课题提出基于节点直接连通概率、度中心性和中介度等辅助信息生成连通性随机图的方法，并基于此设计了基于随机图的点对点连通性判定方法，降低了机会传输的盲目性和被动性；最后，本课题提出了基于时延和成本控制的机会传输方法，有效地降低了机会传输过程中的延迟与成本开销，并提出了基于时空相关性的跨区域机会传输方法，有效地提高了大规模远距离机会传输的可靠性和效率。经实验数据分析证明，本课题所提出的这一系列方法在提高机会网络协同效率、降低机会传输开销以及提高可靠性方面有显著效果。本课题的科研成果可为智能交通、城市公共管理、环境检测等领域提供很好的机会数据感知和传输技术支持。