在节点移动规律无法预知、连通性较差的延迟容忍网络中,针对DTN网络的Ferry节点自定位方案,能够有效提高网络中数据信息采集效率。该方案能够在节点移动过程中根据一个修正因子不断对Ferry的移动节点坐标进行调整,最后使坐标收敛到一个可用的范围。通过概率路由算法对Ferry节点的移动路线优化,使得Ferry节点能够在有限时间内最大限度地收集信息。实验证明,该方案通过合适的修正因子调整节点坐标,使路由算法具有良好的稳定性,在节点信息传输率、公平性和延迟性方面有良好的表现。
A scheme of Ferry self- location is introduced to address the location of Ferry in advance in the routing algorithm. In Delay Tolerant Network, it is hard to know in advance how a node move and the poor network connectivity. The algorithm can improve the efficiency of data collection effectively. In this scheme, all coordinates of Ferry are adjusted gradually by adjusting parameter while the node is moving. By TSP algorithm to optimize the mobile path of Ferry node, it can make the maximum collection of information. The simulation shows that the scheme is able to find a proper value of adjusting parameter to make the routing algorithm stable, well performance in transfer rate, fairness and delay among the nodes.