Improved Algorithm For WSN And Flood Monitoring Application

China is a flood-prone country. In order to prevent floods, people are required to monitor hydro logical data from rivers, lakes and reservoirs timely and accurately.At present, many domestic hydrological stations use mainly artificial view to check out, another traditional method of observing the data is to be fixed point observation. In addition, people also use meteorological satellites or weather radars to fetch relevant information.The first way is weak not only in consistency and efficacy of measurements, but also can not ensure the safety of workers because of hidden danger. The second way is generally lack of flexibility and ill-suited for a wide range monitoring. The third one should be provided some special equipment and full-time staff particularly.In many cases, these methods have been unable to keep up with the actual demand of surveillance efforts in today’s high-tech age.Therefore, by learning from wireless monitoring system development experience, analysing the research status and development of wireless sensor network technology at home and abroad, and combining with the special requirements of modern monitoring system about data collection, the subject tries to apply comet techniques to the design of flood monitoring system. With the help of the two advantages, can we overcome the shortcomings that exist currently.After determining the main research content, based on the analysis and research, we propose the system design goals and plans.First is to design the sensor node, every node consists of a high-performance single-chip, a data gathering module and a wireless transceiver module that can prevent interference. By means of inputing routine and use the RF transmitter and receiver module, the node has the ability of anti-interference to realize wireless communication.Due to the large number of sensor network nodes, and a single node do not use much energy, so the second step is to design a sensor nodes network, which organizes multiple nodes through a certain communication protocols.we reference the thinking of distributed wireless sensor network clustering algorithm, based on the classic LEACH algorithm, propose an algorithm which can extend the life cycle of WSN. This algorithm takes into account the energy, the location, and node density distribution, then adds these three factors to LEACH threshold so that a balanced distribution of energy consumption on each node. To save the limited energy of the system, electrical energy of next-hop node and the distance from it to base station are important consideration when multi hop communication. Finally, we should design a upper monitoring software, make use of platforms and development environment for software to build a monitoring software with a visual interface.