Research On Energy-efficient Mechanisms Of Wireless Sensor Networks For Hydrogenerator Condition Monitoring

With the rapid development of our economy, more and more electric power is needed. As the most effective clean energy, hydropower is gradually exploited. Since the capacities of hydrogenerators are increasing, they are becoming the main generators of the power grid. So the running reliability of hydrogenerators is vital. Wireless sensor network, which is a new way for collecting data, provides an excellent choice for hydrogenerator condition monitoring. However, the powers of sensor nodes are provided by their equipped batteries and currently they can't guarantee the network's long time working. So energy-efficient mechanisms such as balancing the energy consumption of network, increasing redundant nodes, sleeping, data aggregation and data compression are used to prolong the network lifetime in hydrogenerator condition monitoring. Based on these requirements above, the main contents in this paper are as follows:Firstly, the advantages of wireless sensor networks used for hydrogenerator condition monitoring are introduced and the system architecture is proposed. The key technologies in application and four energy-efficient mechanisms for prolonging network lifetime are summed up, which provide the basis for future researches.Then, in order to balance the energy consumption of network, the multi-path rooting protocol with energy-aware (MP-EA) for wireless sensor networks is researched. Based on the analysis of layered network model and MP-EA for wireless sensor networks, the improved multi-path rooting protocols with energy-aware protocol (IMP-EA) is presented. Taking the network life and the packet drop rate as the performance matrix, the simulation performance of IMP-EA is analyzed and compared with other three rooting protocols. Simulation results show that IMP-EA can prolong the network life effectively, enhance the data transmission efficiency and balance the energy consumption of network.Finally, in order to resolve the problem that energies of nodes near the sink deplete too fast, the influence of redundant sensor nodes distribution is researched. Layered network architecture based on regular hexagonal cells is introduced. Taking cells as the minimum working units instead of sensor nodes, optimal distribution of redundant nodes is investigated so that network lifetime can be prolonged as much as possible.