Gas Leakage Source Localization Algorithm Based on Distributed MMSE Sequential Estimation

Distributed gas source localization with Wireless Sensor Networks has an important significance in the environmental monitoring,security protection and pollution control and other fields. a gas leakage source localization( GLSL) algorithm based on distributed minimum mean squared error( D-MMSE) sequential estimation is proposed. In the proposed GLSL algorithm,an information fusion objective function which combines the information utility measure and the communication cost between sensor nodes is constructed,and the sensor-node scheduling scheme is designed by optimizing the information fusion objective function; For each selected sensor node,the estimator and the corresponding mean square error are updated with its own observation and the noise corrupted decision from the previous node and transmitted to the next selected node by collaborating information within its neighborhood,and to decrease the energy consumption,the neighborhood radius is adjusted dynamically based on the mean square error. At last,the analysis and simulation results show that the proposed algorithm could be applied to the GLSL with a realtively high accuracy,less time and relatively energy consumption compared to the single node sequential estimation algorithm.