Voronoi Acoustic Source Localization Mechanism Based On Counter Captured Time Difference

In recent years, Wireless Sensor Networks (WSNs) has been widely applied in many fields of the national economy. Of which, acoustic source localization, which is of great value in both modern military and civilian security, is one of the hottest spots and if of great importance in modern military and civilian security. Due to the limited energy of the network and the dynamic acoustic source to be located, it is a key problem to propose an energy efficient, fast and accurate acoustic source localization protocol and algorithm. This paper focuses on this problem and proposes an energy-efficient acoustic source localization mechanism. Both simulation experiment and actual test demonstrate the excellent performance of the new mechanism.The main problem studied in this paper and its major innovations are summarized as follows.(1) This paper researches the acoustic source localization problem in WSNs and proposes a modified accurate acoustic source localization protocol and algorithm. An acoustic source localization protocol based on counter captured time difference is presented. It can drive the sensors in network to "sleep" in most of the time, so as to achieve energy saving obviously. In the stage of computing the acoustic source position with the time difference data, Voronoi diagram is introduced to reduce the searching space to improve the success percentage and convergence speed of the algorithm. The simulation results on the platform of MATLAB indicate that the comprehensive performance of the acoustic source localization mechanism in this paper is better than the traditional one.(2) To further improve the performance of our method, some sound detecting nodes, which employ microcontroller ATmega128L as processor and are equipped with sound detecting modules as well as RF modules, are designed and deployed in a parking lot. Actual application tests manifest that the acoustic source localization mechanism of this paper can effectively fulfill the positioning task and dramatically prolong the survival time of the network.