动态协同多目标能效优化策略研究与仿真实现

发布时间：2019-07-04 10:59

【摘要】：随着信息新技术的发展,移动多跳无线网络已成为下一代无线网络的重要组网方式。移动多跳无线网络具有部署快速,组网灵活,接入方便,可扩展性强等特点。由于上述特点,使移动多跳无线网络中技术得到飞速发展,随之带来网络设备的能耗与日俱增。根据相关数据表明,通信业每年消耗200亿度以上的电能,耗电总量在各行业中排名第14,其中一半以上是来自于无线网络的能源消耗。如何在动态移动的时变网络环境下构建高能效的多跳网络是其面对的重要问题。因此,研究大幅提高移动多跳无线网络能效的传输理论与技术成为当前无线通信领域的研究热点。首先,本文研究了基于博弈论的能效路由算法。高能效路由机制是降低网络能耗的重要手段之一。本算法采用定向天线发送数据.研究网络在移动多跳网络环境中,利用非合作博弈论思想,建立网络的平均能效和网络QoS的最佳平衡机制。构建联合优化策略,来建立一个高能效的单播路径,继而减少网络能耗和提高网络能效。仿真结果表明,本文提出的算法能够明显的提高网络能效。其次,本文研究了协同多目标能效优化算法。在传输数据的信号质量不变情况下,采用多目标优化策略和协同传输技术,降低发射节点发射功率的同时将路径中的节点参与协同传输,来提高网络在节能和能效方面的性能。仿真结果表明,本文所应用的协同多目标传输算法能够降低网络能耗,提高整个网络的生存时间和网络的平均能效。最后,本文研究了基于离散粒子群路由传输算法。在实时数据传输网络中,网络的实时性尤为重要。本算法利用相互协作与信息相互共享的原则来建立路由,并且根据发送数据量的大小实时分配所要进行传输的信道。仿真结果表明本文所提的离散粒子群路由传输算法能够明显降低网络能耗,提高整个网络能效并提高整个网络的实时性,减少网络传输时延。
[Abstract]:With the development of the new information technology, the mobile multi-hop wireless network has become an important networking mode of the next generation of wireless network. The mobile multi-hop wireless network has the characteristics of rapid deployment, flexible networking, convenient access, strong expandability and the like. Due to the characteristics, the technology in the mobile multi-hop wireless network is rapidly developed, and the energy consumption of the network equipment is increased. According to the relevant data, the communication industry consumes more than 2 billion kilowatt of electric energy each year, and the total amount of power consumption is the 14th in each industry, and more than half of them are energy consumption from the wireless network. How to build a high-efficient multi-hop network in a dynamic moving time-varying network environment is an important problem facing it. Therefore, the research on the transmission theory and technology of the energy efficiency of the mobile multi-hop wireless network has become a hot topic in the current wireless communication field. First, this paper studies the energy efficiency routing algorithm based on game theory. The high energy efficiency routing mechanism is one of the important means to reduce network energy consumption. The algorithm uses directional antenna to transmit data. In the mobile multi-hop network environment, the research network uses the idea of non-cooperative game theory to establish the optimal balance mechanism of the average energy efficiency and network QoS of the network. Build a joint optimization strategy to create a high-efficient unicast path, which in turn reduces network energy consumption and improves network energy efficiency. The simulation results show that the proposed algorithm can significantly improve the energy efficiency of the network. Secondly, a cooperative multi-objective energy efficiency optimization algorithm is studied in this paper. Under the condition of unchanged signal quality of the transmission data, the multi-objective optimization strategy and the cooperative transmission technology are adopted to reduce the transmission power of the transmitting node, and the nodes in the path are participating in the cooperative transmission so as to improve the performance of the network in terms of energy conservation and energy efficiency. The simulation results show that the cooperative multi-target transmission algorithm applied in this paper can reduce the network energy consumption, improve the life time of the whole network and the average energy efficiency of the network. In that end, the algorithm of route transmission based on the discrete particle swarm is studied in this paper. In the real-time data transmission network, the real-time performance of the network is very important. The method uses the principle of mutual sharing of the cooperation and the information to establish a route, and allocates the channel to be transmitted in real time according to the size of the transmission data quantity. The simulation results show that the proposed discrete particle swarm routing algorithm can significantly reduce the network energy consumption, improve the energy efficiency of the whole network and improve the real-time performance of the whole network, and reduce the network transmission time delay.
【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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