| As a new way of information acquisition and processing, wireless sensor networks(WSN),which integrated sensor technology, embedded computing technology, distributed information processing and wireless communications technology, can be widely used in national defense and military, scientific research, industry and agriculture production, health care areas, it has become a research hot spot. As one of its core technology,the WSN routing protocol is the hot problem of recent researches. This topic comes from my supervisor's horizontal research project of WSN, this thesis mainly study on the self-organization algorithm of WSN based on energy consumption control. Through the overview of network topology, routing protocols and clustering self-organizing algorithm, on the basic of classical low energy adaptive clustering hierarchy (LEACH) protocol, from the four aspects including the cluster selection, cluster structure model, the average energy consumption estimates and multi-hop routing algorithm, to improve the energy efficiency, to reduce energy consumption, to prolong network lifetime and to improve the network data communication capacity, the optimize distributed energy-efficient clustering (DEEC)algorithm of wireless sensor network is proposed. The main contents are as follows:First, the background and the research significance and research status are introduced. In the same time, overview the network architecture, the main features, topology, and clustering self-organizing algorithms of wireless sensor networks. Several currently used routing protocol algorithm and features are analyzed. The LEACH routing protocol is described in detail, including its advantages and disadvantages of the algorithm. Meanwhile, as the improved algorithm of LEACH, LEACH-C is introduced briefly.Then, the source of the energy consumption of wireless sensor networks is analyzed, and two ways of reducing energy are pointed out, including single node and the network layer of saving energy. Based on LEACH protocol, on the aspect of the clustering structure model, the average energy estimation, the cluster head node selection mechanism, and multi-hop routing algorithm, the DEEC algorithm is described in detail.Then, by the software of MATLAB, three algorithms are simulated, including LEACH, LEACH-C and DEEC. From the survive lifetime and data communications capability of network nodes, the three simulation results of algorithms are analyzed and compared. Finally, simulation results showed that compared with LEACH, improved algorithm DEEC can reduce the whole system power consumption, its network lifetime is significantly improved, the data communications capacity is enhanced, and network size has better scalability. Finally, as an application, the WSN used in a blast furnace cooling water temperature control system is introduced and realized. At the end of this thesis, the viewpoint and the innovation of this paper are summarized; meanwhile the direction for further research is pointed out. |