Dynamic And Collaborative Multi-objective Optimization Strategy And Simulations Of Energy Efficiency

With the development of new information technologies, mobile multi-hop wireless networks have become an important networking mode of next-generation wireless networks. Mobile multi-hop wireless networks have such features as quick deployment, strong expansibility, flexible networking, convenient access and so on. Because of these characteristics, the mobile multi-hop wireless network technology has been rapidly developed, which brings he increasing energy consumption of network equipments.The relevant statistical analysis shows that the communication industries consume more than 20 billion KWH and the total power consumptions are the 14th in various fields. And more than half of the total power consumptions stem from the wireless network. How to build a high energy-efficiency multi-hop networks in a dynamic time-varying mobile network environment has then become an important issue. Therefore, the study of how to greatly improve the power transmission efficiency in the mobile multi-hop wireless network has recently become the hot research topic in the wireless communication field.First of all, this thesis studies the energy-efficiency routing algorithm based on game theory. The routing protocol with high energy-efficiency is one of those important methods to reduce the energy-efficiency of mobile network. The algorithm adopts a directional antenna to send data. In the mobile multi-hop network, we adopt non-cooperative game theory to establish the best balance mechanism between the network average energy efficiency and the network Qos. By building a joint optimization strategy, we will establish an energy-efficient unicast path, which reduces energy consumption and improves network energy-efficiency. The simulation results show that the proposed algorithm can significantly improve network energy-efficiency.Secondly, this thesis studies collaborative multi-objective optimization algorithm with energy-efficiency. When the signal quality of the transmission data is unchanged, we adopt multi-objective optimization strategies and cooperative transmission technology to reduce the transmission power of the transmitting node and allow the nodes in the path to participate in the cooperative transmission simultaneously. At the same time, it can improve network performance in terms of energy conservation and energy-efficiency. The simulation results show that multi-objective cooperative transmission algorithm can reduce network energy consumption and increase the survival time of the network and the network average efficiency in this thesis.Finally,this thesis studies the real-time transmission based on DPSO routing. In the real-time data transmission network, the network real-time is particularly important. The algorithm utilizes principle of mutual cooperation and mutual sharing to establish a route; and according to the size of transmission datas will perform real-time distribution of the transmission channel. The simulation results show that the real-time transmission of DPSO routing can significantly reduce network energy consumption, improve the energy-efficiency and the real-time across the network and reduce network transmission delay.