Localization Algorithm Based On Acoustic Energy In Wireless Sensor Network

Source location is one of the important applications of the wireless sensor networks. There are some algorithms to solve this problem, but they are not so effective in locating accuracy and energy control. To get a better way to solve this problem, this paper do some research on the variation of energy propagation process in specific medium, proposes a new source location algorithm, which is based on acoustic energy and can deal with the situations which other algorithms can not do.The paper works on the propagation of sound waves in different media in detail, especially in the air, finds the relationship between different conditions, and finally works out a observation model and a mathematic model. With the help of information technology, state estimation, Kalman filter algorithm and Bayesian decision-making theory, this paper gets a new method for source location problem in wireless sensor networks. The kernel of the new algorithm is the collaborative algorithm between sensors, which organizes the senor group and control the collaboration between the sensors. The new algorithm can not only provide sufficient accurate result, but also can cut down the energy consumption as possible as it can. In the algorithm design, the Kalman filter algorithm and the Bayesian decision-making algorithm are very important, which help the new algorithm to build the mathematic model and formulae.After the design of the new algorithm, the paper describe the simulation and experiments to test the algorithm. The results show that the performance of the new algorithm is good, which is not only able to solve the source location problem but also can reduce the energy comsumption.At last, the paper summarizes the previous work,and make a scheme for the future work.