基于多点中继协作的动态多维协同能效优化方法研究

发布时间：2018-07-06 14:32

本文选题：移动多跳无线网络 + 协作通信　；参考：《东北大学》2014年硕士论文

【摘要】：近年来,随着通信技术的不断发展,移动多跳无线网络也成为了下一代无线网络的重要组网方式。其中移动多跳无线网络具有接入方便,组网灵活,部署快速等优势特点,但其能耗的限制是移动多跳无线网络必须要解决的问题,因为其网络拓扑是随着时间不断变化的,对应其网络设备的电源也是非固定的,只能维持有限的时间。所以本文从能效出发,利用尽量小的能耗来实现网络信息传输的最大化。中继协作通信有助于提高网络能效,本文利用中继协作通信研究移动多跳无线网络中的能效优化方法。首先,本文研究了在移动多跳无线网络环境下多点中继协作策略。在节点移动的环境下,源节点到目的节点的路由也是在不断变化的。近些年来很多学者对路由的快速、准确发现与路由的动态维护做了大量的研究,但是本算法中的路由发现方案还要基于与协作节点的位置关系来选择,如果所选择的路由位置对应的协作节点能效性能不是很好,那么就必须通过提高节点的发射功率来保证链路的信噪比要求,从而不能达到提高能效的目的。所以本算法以能效为目的,根据路由与协作节点的位置关系来建立路由,并且选择合适的节点协作所在链路数据传输。仿真结果表明,本文提出的移动多跳无线网络环境下基于协作通信的多点中继协作能效算法能够明显的提高网络的能效。其次,本文研究了在节点缓慢变化环境下的移动多跳无线网络协同能效优化策略。在移动多跳无线网络环境下,节点的位置是不断变化的,通过构建节点缓慢变化的移动模型,利用滑动时间窗记录、分析移动节点在过去时间内在移动速度、移动方向、节点能量、节点工作时长等多维参数的变化趋势,从而根据节点间的距离变化控制其发送功率,以及预测源节点到目的节点路由的变化情况,这样就减少了发送数据与路由维护的功耗；另一方面,根据记录的节点能量与工作时长的变化情况,可以对不同网络节点进行能量均衡,防止部分节点由于过度使用而过快的将能量耗完,从而延长了网络的生存时间,提高了网络能效。仿真结果表明,本文提出的节点缓慢变化环境下的移动多跳无线网络协同能效优化算法,很好的提高了网络的能效,并且延长了网络的生存时间。
[Abstract]:In recent years, with the continuous development of communication technology, mobile multi hop wireless network has also become an important networking mode for the next generation of wireless networks. The mobile multi hop wireless network has the advantages of convenient access, flexible networking and rapid deployment, but the limitation of its energy consumption is the problem that the mobile multi hop wireless network must solve because of its network. The network topology is constantly changing with time, and the power supply corresponding to its network equipment is also unfixed and can only maintain a limited time. Therefore, this paper makes use of the energy efficiency to maximize the network information transmission from the energy efficiency. The relay cooperative communication helps to improve the network energy efficiency. This paper uses the relay cooperative communication to study the mobile communication. The method of energy efficiency optimization in multi hop wireless networks. First, this paper studies multi point relay cooperation strategy in mobile multi hop wireless network environment. In the environment of node movement, the routing of the source node to the destination node is also changing. In recent years, many scholars have done fast routing, accurate discovery and dynamic maintenance of routing. A lot of research is done, but the routing discovery scheme in this algorithm is also based on the location of the cooperative nodes. If the cooperative node's energy efficiency of the selected routing location is not very good, then the signal to noise ratio requirements of the link must be improved by increasing the transmitting power of the node, and thus the energy efficiency can not be improved. Objective. Therefore, the algorithm is based on the energy efficiency, based on the location relationship between the routing and the cooperative nodes, and selects the appropriate node collaboration for the link data transmission. The simulation results show that the multi point relay cooperative energy efficiency algorithm based on cooperative communication in the mobile multi hop wireless network environment can improve the network obviously. Secondly, this paper studies the cooperative energy efficiency optimization strategy of mobile multi hop wireless network under the slow changing environment of the node. In the mobile multi hop wireless network environment, the location of the node is constantly changing. By constructing the mobile model of the node slowly changing, the moving node is used to analyze the mobile node in the past time. The changing trend of multidimensional parameters such as moving speed, direction of movement, node energy, length of node working long and so on, thus controlling the transmission power according to the distance between nodes, and predicting the change of the source node to the destination node, thus reducing the power consumption of the transmitted data and the path by the maintenance; on the other hand, according to the recorded nodes. The energy and working time change can balance the energy of different network nodes, prevent some nodes from overusing and consume the energy too fast, thus prolonging the network survival time and improving the network energy efficiency. The simulation results show that the mobile multi hop wireless network association proposed in this paper is proposed in the slow changing environment. The same energy efficiency optimization algorithm improves the energy efficiency of the network and prolongs the lifetime of the network.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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