基于传感云的无线图传网能耗控制问题研究

Research on energy consumption control in wireless image sensor network based on sensor-cloud

针对基于传感云结构的低功耗无线图传网能耗控制策略问题展开研究.当图像传感节点上的数据注入传感云后,能量的消耗过程转变成在云中节点间的传递消耗,基于该过程提出了一种无线图传网络的云系统模型,并在此模型的基础上,根据传感云中节点上缓冲区状态的变化实质,提出一种系统能耗控制方法,通过该方法可使得云节点自适应调整缓冲区的大小,优化传递路径,最终让云系统获得更大的生命周期.仿真结果表明,随着图像数据注入量的增加,本方法对传感云系统能起到更好的节能效果.

The paper focuses on the energy consumption control strategy of low power wireless image transmission network with sensing cloud structure.Based on the process that the energy consumption will be transformed into the transmission consumption between nodes in the cloud after the data from the image sensor nodes are injected into the sensor-cloud,a cloud system model of wireless image transmission network is proposed,and then it presents a system energy control method according to the changes of the buffer state in sensor-cloud nodes;with this method,every cloud node can adaptively adjust its buffer size and the next transfer path;and eventually the cloud system will obtain a larger life cycle.The simulation results show that the larger the injection amount of image data,the better the energy saving effect of sensor-cloud system based on the methods.