Dynamic Multidimensional Collaborative Energy Efficiency Optimization Research Based On Multi-relay Cooperative Transmission

In recent years, with the development of communication technology, mobile multi-hop wireless networks have become an important technology in next-generation wireless network. Mobile multi-hop wireless networks have such features as quick deployment, strong expansibility, flexible networking, conveniently access and so on.However, the energy restriction is the problem that must be solved in mobile multi-hop wireless networks, because their network topology dynamically changes over time, and are often equipped with limited and unfixed power supply. As a result, we started from the energy efficiency, which is to maximize the network information transmission by using energy consumption as small as possible in this paper.Cooperative communication can improve the network energy efficiency, so we use this technology to study energy efficiency optimization in mobile multi-hop wireless networks.Firstly, the thesis studies multi-nodes cooperative strategy in mobile multi-hop wireless networks. As the nodes are moving, the route from the source node to the destination node is constantly changing. In recent years, many scholars have done a lot of research on route discovery and route maintenance, but in this paper the route discovery must be based on the location of cooperative nodes, if the nodes’energy efficiency corresponding to the selected routing position is not very good, we must improve the node transmission power to satisfy the requirement of the signal noise ratio of the link, thus can not achieve the purpose of improving energy efficiency. In this paper, we aim at the energy efficiency as the goal, choosing the route according to the position relationship between the routing and the cooperative nodes, and select the appropriate node to help the link to transfer data. The simulation results show that the energy efficiency cooperative transmission protocols with multi-nodes proposed by our thesis can significantly improve the network energy efficiency.Secondly, the thesis studies the collaborative efficiency optimization strategy in the slow variation of nodes. In the mobile multi-hops wireless network environment, the position of the nodes are constantly changing, we construct the model of slow changing mobile nodes, and use the sliding time window to record and analyze the changes of nodes’moving speed, moving direction, energy consumption, nodes’ working length and other multidimensional parameter trend of mobile nodes.By recording the value of these parameters one can forecast the change tendency of nodes’ position, then use the distance change to control the transmission power of sensor nodes, and forecast the routing changes between the souce node and the destination node, which reduces the power consumption of data transmission and routing maintenance. On the other hand, according to the changes of nodes’ energy and working record length, we can use nodes energy balance to prevent some nodes from excessive utilization and excessive energy consumption, thus prolonging the survival time of the network, and improve network efficiency.