无线采集节点能耗分析与节能方法研究
发布时间：2018-11-20 05:52
【摘要】：沙漠、森林、峡谷等大规模监测场景下,无线传感器网络中采集节点往往采用电池供电,当电池电量耗尽后,如果不更换电池或充电,节点就会失效,因此,能耗成为决定系统寿命最重要的性能指标,非常有必要设计一种适合于无线采集节点的能量评估方法,用于预测节点在各种模式和场合下的生存周期,同时对节点采集信息、处理数据、无线通信等各个阶段进行能耗定量分析,进而设计出相应的节能方法。针对无线采集节点能耗评估问题,研究了一种基于功耗状态模型的节点生存模式评估方法。首先指出了典型的无线采集节点结构组成,分析各个组成单元状态与能耗之间的关系,建立基于节点工作状态的功耗状态模型,实现了节点能耗定量计算,给出节点生存模式通用评估方法。结合三种常用的无线采集节点生存模式实验用例,在振动检测实验平台上进行相关参数测量与验证。实验数据表明,该方法可为无线采集节点能耗分析与节能优化提供较为可靠的依据。在基于功耗状态模型的节点生存模式评估方法中将节点工作状态转移假设为人为规定的,这在一定程度上增加了评估节点生存时间的复杂度。为了方便研究,将节点状态转移假设为一种随机事件,同时将节点状态转移抽象为半马尔可夫过程,研究了一种基于半马尔可夫链模型的节点生存时间评估方法,分别计算了在中断驱动和调度驱动节点模型下生存时间以及关键影响因素,最后在振动检测实验平台上对这种模型进行了验证。实验数据表明,该方法可以快速有效的对无线采集节点生存时间进行预测。
[Abstract]:In large-scale monitoring scenarios such as deserts, forests, canyons and other large-scale monitoring scenarios, the collection nodes in wireless sensor networks tend to use battery-powered power. When the battery runs out, if the battery is not replaced or charged, the nodes will fail, so, Energy consumption is the most important performance index to determine the life of the system. It is necessary to design an energy evaluation method suitable for wireless acquisition nodes to predict the lifetime of nodes in various modes and situations, and to collect information for nodes at the same time. Data processing, wireless communication and other stages of energy consumption quantitative analysis, and then designed the corresponding energy saving methods. In order to evaluate the energy consumption of wireless acquisition nodes, a node survival mode evaluation method based on power state model is studied. Firstly, the typical structure of wireless acquisition nodes is pointed out, and the relationship between the states of each component unit and energy consumption is analyzed, and a power consumption state model based on the working state of nodes is established, and the quantitative calculation of node energy consumption is realized. A general evaluation method of node survival mode is presented. Combined with three commonly used experimental cases of survival mode of wireless acquisition nodes, the related parameters were measured and verified on the vibration detection experiment platform. Experimental data show that this method can provide reliable basis for energy consumption analysis and energy saving optimization of wireless acquisition nodes. In the evaluation method of node survival mode based on power state model, the assumption of node working state transition is prescribed, which increases the complexity of evaluating node survival time to a certain extent. In order to facilitate the research, the node state transition is assumed to be a random event, and the node state transition is abstracted as a semi-Markov process. A node survival time evaluation method based on the semi-Markov chain model is studied. The survival time and the key influencing factors under the models of interrupt drive and scheduling drive are calculated respectively. Finally, the model is verified on the vibration detection experiment platform. Experimental data show that the proposed method can predict the survival time of wireless acquisition nodes quickly and effectively.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP212.9
[Abstract]:In large-scale monitoring scenarios such as deserts, forests, canyons and other large-scale monitoring scenarios, the collection nodes in wireless sensor networks tend to use battery-powered power. When the battery runs out, if the battery is not replaced or charged, the nodes will fail, so, Energy consumption is the most important performance index to determine the life of the system. It is necessary to design an energy evaluation method suitable for wireless acquisition nodes to predict the lifetime of nodes in various modes and situations, and to collect information for nodes at the same time. Data processing, wireless communication and other stages of energy consumption quantitative analysis, and then designed the corresponding energy saving methods. In order to evaluate the energy consumption of wireless acquisition nodes, a node survival mode evaluation method based on power state model is studied. Firstly, the typical structure of wireless acquisition nodes is pointed out, and the relationship between the states of each component unit and energy consumption is analyzed, and a power consumption state model based on the working state of nodes is established, and the quantitative calculation of node energy consumption is realized. A general evaluation method of node survival mode is presented. Combined with three commonly used experimental cases of survival mode of wireless acquisition nodes, the related parameters were measured and verified on the vibration detection experiment platform. Experimental data show that this method can provide reliable basis for energy consumption analysis and energy saving optimization of wireless acquisition nodes. In the evaluation method of node survival mode based on power state model, the assumption of node working state transition is prescribed, which increases the complexity of evaluating node survival time to a certain extent. In order to facilitate the research, the node state transition is assumed to be a random event, and the node state transition is abstracted as a semi-Markov process. A node survival time evaluation method based on the semi-Markov chain model is studied. The survival time and the key influencing factors under the models of interrupt drive and scheduling drive are calculated respectively. Finally, the model is verified on the vibration detection experiment platform. Experimental data show that the proposed method can predict the survival time of wireless acquisition nodes quickly and effectively.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP212.9
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