Wang Ruyan, Zhong Ailing, Li Zhidu, Zhang Hong, Li Xingjie
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Key Laboratory of Optical Communication and Networks, Chongqing 400065, China.
Sensors (Basel). 2020 Dec 27;21(1):121. doi: 10.3390/s21010121.
How to guarantee the data rate and latency requirement for an application with limited energy is an open issue in wireless virtualized sensor networks. In this paper, we integrate the wireless energy transfer technology into the wireless virtualized sensor network and focus on the stochastic performance guarantee. Firstly, a joint task and resource allocation optimization problem are formulated. In order to characterize the stochastic latency of data transmission, effective capacity theory is resorted to study the relationship between network latency violation probability and the transmission capability of each node. The performance under the FDMA mode and that under the TDMA mode are first proved to be identical. We then propose a bisection search approach to ascertain the optimal task allocation with the objective to minimize the application latency violation probability. Furthermore, a one-dimensional searching scheme is proposed to find out the optimal energy harvesting time in each time block. The effectiveness of the proposed scheme is finally validated by extensive numerical simulations. Particularly, the proposed scheme is able to lower the latency violation probability by 11.6 times and 4600 times while comparing with the proportional task allocation scheme and the equal task allocation scheme, respectively.
在能量有限的情况下，如何保证应用程序的数据速率和延迟要求是无线虚拟传感器网络中的一个开放性问题。在本文中，我们将无线能量传输技术集成到无线虚拟传感器网络中，并专注于随机性能保证。首先，提出了一个联合任务和资源分配优化问题。为了表征数据传输的随机延迟，采用有效容量理论来研究网络延迟违反概率与每个节点传输能力之间的关系。首先证明了FDMA模式下的性能与TDMA模式下的性能相同。然后，我们提出了一种二分搜索方法来确定最优任务分配，目标是最小化应用程序延迟违反概率。此外，还提出了一种一维搜索方案来找出每个时间块中的最优能量收集时间。最后通过大量的数值模拟验证了所提方案的有效性。特别是，与比例任务分配方案和均等任务分配方案相比，所提方案能够分别将延迟违反概率降低11.6倍和4600倍。
