【摘要】 针对行人场景下节点相遇具有一定规律性的情况,提出了一种基于节点相遇时间估计的容延迟移动传感器网络路由算法(EEBR),以优化行人场景下的网络性能。通过对节点间历史相遇信息和节点间相互关系的分析,设计了一种实时估计普通节点和汇聚节点相遇概率的方法,并对发送缓冲区转发机制进行了设计。基于EEBR的行人场景数据集下的仿真结果表明,与传统的路由算法相比,EEBR算法的消息投递成功率、平均投递延迟和网络负载等关键指标更优。更多还原

【Abstract】 For the case of pedestrian scene that nodes encounter with certain regularity,a new delay tolerant mobile sensor networks(DTMSN)routing algorithm EEBR was proposed based on the estimation of encounter time between nodes to optimize network performance.Through the encounter history and the analysis of the relationship between nodes,a real-time estimation method of the encounter probability between normal nodes and sink node was presented,and the buffer forwarding mechanism was designed.Simulation results for the pedestrians’ scene data set show that EEBR algorithm can achieve better performance than other DTMSN routing algorithms in terms of message delivery ratio,average delivery delay and network transmission overhead.更多还原