在通信网络节点延迟优化问题的研究中,由于延迟容忍网络(简称DTN)的端到端之间存在着高延迟,束传输率低,且会有频繁的链接中断的情况发生,很容易产生通道失效。由于DTN存在的通道失效问题,借鉴生物网络机理,提出一种生物网络的可靠性方法,通过通道容错结构的设计,生物智能体亲和力匹配,以及智能体之间的协商、协作规则来判断通道状态,进而实现通道容错,解决失效问题。与已有可靠性机制相比,改进方法缩短了束延迟时间,同时又充分利用了带宽预留。在生物网络仿真平台上,改进方法的性能得到验证。仿真结果表明,它的通信效率有了明显提高。
In Delay tolerant networks, link interruptions occur frequently, channel failure is inevitable during bundle transmission. A new fault tolerant architecture based on Bio-Network is introduced to solve the problem of channel failures. Biological agents is extended to support distributed awareness and try to optimally route backup channels by minimizing the spare resource reservation, while guaranteeing successful recovery. The simulation results show that the approach is of high performance and extendable capability.