Opportunistic sensing has become an appealing mobile crowd sensing (MCS) paradigm due to the fact that it can reduce the energy consumption and cost of cellular network connections. However, its success rate and transmission speed depend on the social interaction and mobility patterns of nodes. In this paper, we provide a spatiotemporal opportunistic transmission method for MCS networks. Firstly, to characterize the mobility patterns and social attributes of nodes more precisely and combine their advantages, this method defines spatiotemporal encountering and visiting parameters related to specific space-time units for nodes in a MCS network. Further, to realize reliable opportunistic transmission across regions and time intervals, this method searches publishers or participants of sensing tasks in a space-time unit according to the spatiotemporal encountering parameters of nodes in the unit and tracks the publishers or participants across the space-time units according to the spatiotemporal visiting parameters of nodes. The simulation results verify that the proposed method can achieve higher success rate with less transmission delay than existing typical methods.

由于机会感知可以减少蜂窝网络连接的能耗和成本，因此它已成为一种有吸引力的移动人群感知（MCS）范例。但是，其成功率和传输速度取决于节点的社交交互和移动性模式。在本文中，我们为MCS网络提供了一种时空机会传输方法。首先，为了更精确地表征节点的移动性模式和社会属性并结合它们的优势，该方法为MCS网络中的节点定义了与特定时空单位有关的时空遭遇和访问参数。此外，为了实现跨区域和时间间隔的可靠机会传输，该方法根据单位时间内节点的时空遭遇参数搜索时空单位中感知任务的发布者或参与者，并根据节点的时空访问参数跨时空单位跟踪发布者或参与者。仿真结果证明，与现有的典型方法相比，所提方法能够以更高的成功率和更少的传输延迟实现目标。