机会移动传感器网络可应用在野生动物监控,或利用手持设备嵌入的传感器收集城市信息等场景,往往需要将数据从源节点传输到多个基站中的任一个.提出了一个基于虚拟空间的路由机制VSR(virtual space-based routing),采用"存储-携带-转发"的传输模式实现数据收集.每个传感器节点根据与多个sink节点的期望传输延迟映射成高维空间中的一个坐标点,消息传输对应于从源节点移动到空间原点的过程.细粒度的转发决策特性,使VSR自适应于网络的动态变化,具有很好的鲁棒性.此外,VSR机制具有很低的计算和存储开销,非常适合资源受限的传感器节点.两种不同随机特性场景下的模拟实验验证了VSR机制比ZebraNet的基于历史的转发机制和随机转发机制的性能更好.
Opportunistic mobile sensor networks can be applied in some scenarios such as wild animal monitoring and urban sensing utilizing sensors embedded into handheld devices to collect urban information.In these applications,the gathered data usually need to be transmitted from the source node to one of multiple base stations(sink nodes).The authors propose the VSR(virtual space-based routing) scheme adapting "store-carry-forward" paradigm to transmit the data message to the base stations.In VSR,each sensor estimates the expected delivery delay to all base stations based on the meeting history between the node and the base stations.Then,each sensor is mapped into a coordinate point of a high dimensional space according to its delivery delays to all sinks.All sink nodes are corresponding to the origin of the space.The forwarding metric is defined as the Euclidean distance of the node to the origin.When two nodes encounter,the node with the higher such metric forwards the carried messages to the peer with the lower metric,until the messages are delivered to any sink nodes.VSR is robust to dynamic network because of its fine-grained forwarding decision and is appropriate for sensor node due to its low computing and storage overhead.Experiments under two random scenarios show that VSR outperforms the history-based routing proposed in ZebraNet and random forwarding scheme.