Sensor-cloud is a developing technology and popular paradigm for various applications. It integrates wireless sensor into a cloud computing environment. On the one hand, the cloud offers extensive data storage and analytical and processing capabilities not available in sensor nodes. On the other hand, data distribution (such as time synchronization and configuration files) is always an important topic in such sensor-cloud systems, which leads to a rapid increase in energy consumption by sensors. In this paper, we aim to reduce the energy consumption of data dissemination in sensor-cloud systems and study the optimization of energy consumption with time-varying channel quality when multiple nodes use the same channel to transmit data. Suppose that there is a certain probability that the nodes send data for competing channel. And then, they decide to distribute data in terms of channel quality for saving energy after getting the channel successfully whether or not. Firstly, we construct the maximization problem of average energy efficiency for distributing data with delay demand. Then, this maximization problem transferred an optimal stopping problem which generates the optimal stopping rule. At last, the thresholds of the optimal transmission rate in each period are solved by using the optimal stopping theory, and the optimal energy efficiency for data distribution is achieved. Simulation results indicate that the strategy proposed in this paper can to some extent improve average energy efficiency and delivery ratio and enhance energy optimization effect and network performance compared with other strategies.

中文翻译：

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OEDDBOS：一种高效的数据分发策略，在传感器云系统中实现节能

传感器云是一种正在发展的技术，是适用于各种应用程序的流行范例。它将无线传感器集成到云计算环境中。一方面，云提供了传感器节点所没有的广泛的数据存储以及分析和处理功能。另一方面，数据分发（例如时间同步和配置文件）始终是此类传感器云系统中的重要主题，这导致传感器能耗快速增加。本文旨在减少传感器-云系统中数据分发的能耗，并研究当多个节点使用同一通道传输数据时，时变通道质量对能耗的优化。假设节点有一定可能性发送数据以争用通道。然后，他们决定根据通道质量分配数据，以在成功获得通道后节省能量。首先，我们构造了具有延迟需求的数据平均能量效率的最大化问题。然后，该最大化问题转移了一个最佳停止问题，该问题产生了最佳停止规则。最后，利用最优停止理论求解了每个周期的最优传输速率阈值，实现了数据分配的最优能量效率。仿真结果表明，与其他策略相比，本文提出的策略在一定程度上可以提高平均能量效率和传输比，并提高能量优化效果和网络性能。