一种高效低能耗移动数据采集与无线充电策略

在无线可充电传感器网络(wireless rechargeable sensor network,简称WRSN)中,所面临的一项重要挑战是如何在高效收集传感器节点数据的同时,降低网络整体能量消耗.大多数现有数据收集策略或是不能适应大规模的充电传感器网络,或是没有充分考虑到传感器节点能量补充的问题,这将严重降低网络的通信...

Effective Low-energy Scheme for Mobile Data Collection and Wireless Charging

In wireless rechargeable sensor network (WRSN), how to efficiently collect data from sensor nodes and reduce the system energy cost is very challenging. However, most recent data collection works either cannot adapt to the large-scale rechargeable sensor network or do not take into account the sensors'' energy recharging problem. They will lead to the decrease of network traffic and lifetime. Thus, aiming at the problem of data collection and network cost in WRSN, this study proposes to use the data collection vehicle (DCV) and wireless charging vehicle (WCV) to be responsible for data collection and wireless charging respectively. It can optimize data collection and ensure network continuity at the same time. Firstly, in order to improve the data collection and charging efficiency to divide the large network into several parts, this study proposes a network partition scheme based on the neighborhood similarity of sensor nodes and the distance between nodes. Then, to each part, an anchor selection scheme based on tradeoff between neighbor amount and residual energy within k hops is proposed. Next, a network cost optimization function is designed by analyzing the relationship between sensor energy consumption and network cost. The optimal sensor nodes sensing data rate and link rate are obtained by dual decomposition and sub-gradient the cost function. The results demonstrate the network can not only reduce the overall network cost but also reduce the amount of dead sensor nodes.