動態(tài)協(xié)同多目標(biāo)能效優(yōu)化策略研究與仿真實(shí)現(xiàn)
[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.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN929.5
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