WRSNS的剩余能量及能量调度模型研究

发布时间：2018-02-16 18:08

本文关键词： 无线可充电传感器网络(WRSNs) 剩余能量模型充电调度 Leach路由算法　出处：《天津工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：磁耦合无线充电技术与无线传感器网络技术结合诞生无线可充电传感器网络(WRSNs),为解决无线传感器网络中节点能量问题提供新的途径。在采用一对一充电方式的无线可充电传感器网络中,对于大量待充电节点,如何选择充电节点,直接关系到网络节点数据传输的可靠性和网络的稳健性。本文针对一对一充电方式的无线可充电传感器网络特点,从网络路由协议、节点能量消耗方面入手,研究节点的剩余能量模型以及网络节点的充电次序调度策略,具体研究工作如下:将Leach路由算法移植到WRSNs中,针对Leach算法未考虑剩余能量和与Sink节点间的距离,提出一种改进的Leach算法(LeachED)。该算法考虑传感器节点的剩余能量,以及传感器节点到Sink节点间的距离,优化通信方式和簇头节点选取阈值。从网络存活节点数、数据吞吐量以及网络节点的能量消耗三个方面仿真分析和比较。仿真结果表明,与Leach算法比较,LeachED算法更能均衡网络节点的能耗。考虑到节点在网络中承担功能不同其消耗能量也不同,本文将WRSNs网络节点分为普通传感器节点、簇头节点以及中继簇头节点三种类型,理论分析其能量消耗,构建时不变剩余能量模型。基于构建的剩余能量模型进行仿真分析结果表明,不同类型的节点的能耗也不同,为构建节点的充电次序调度模型提供依据。基于LeachED算法的WRSNs网络中,依托剩余能量模型,结合磁耦合无线传能特点,提出了充电"格"概念,并构建节点的充电次序调度模型。通过分析充电"格"和节点的重要级别来决定SenCar节点的移动充电次序,从网络中节点的存活数和路由鲁棒性验证了 G_SCC策略的有效性。
[Abstract]:Magnetic coupling wireless charging technology combined with wireless sensor network technology the birth of wireless rechargeable sensor network WRSNsN provides a new way to solve the problem of node energy in wireless sensor networks. In a wired rechargeable sensor network, For a large number of rechargeable nodes, how to select charging nodes is directly related to the reliability of network node data transmission and the robustness of network. In this paper, according to the characteristics of one-to-one charging wireless rechargeable sensor network, the routing protocol is proposed. In the aspect of node energy consumption, the residual energy model of nodes and the charging order scheduling strategy of network nodes are studied. The specific research work is as follows: the Leach routing algorithm is transplanted into WRSNs. In this paper, an improved Leach algorithm is proposed to solve the problem that the residual energy of the sensor node and the distance between the sensor node and the Sink node are taken into account in the Leach algorithm, which takes into account the residual energy of the sensor node and the distance between the sensor node and the Sink node. Optimization of communication mode and threshold selection of cluster head nodes. Simulation analysis and comparison from three aspects: the number of network surviving nodes, data throughput and energy consumption of network nodes. The simulation results show that, Compared with the Leach algorithm, the Leached algorithm can balance the energy consumption of the network nodes. Considering that the nodes bear different functions in the network, the energy consumption of the nodes is also different. In this paper, the nodes of the WRSNs network are divided into common sensor nodes. The energy consumption of cluster head node and relay cluster head node are analyzed theoretically and the residual energy model is constructed. The simulation results show that the energy consumption of different nodes is different. In the WRSNs network based on LeachED algorithm, the concept of charging "grid" is put forward based on the residual energy model and the characteristics of magnetic coupling wireless energy transmission. By analyzing the charging "grid" and the important level of the node to determine the mobile charging order of the SenCar node, the validity of the GSP strategy is verified from the number of surviving nodes and the routing robustness of the nodes in the network.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TP212.9

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