Chemical Source Location Based on Distributed Sensor Node Cooperation Method with Different Sensor Routing Scheme

Distributed chemical source localization with sensor networks has an important significance in the environmental monitoring, security protection and pollution control and other fields. This paper presents two chemical source location algorithms based on distributed estimation with sensor node cooperation, which was implemented by two routing schemes: global search and local search. In these algorithms, a certain information fusion objective function was designed which is assumed to be a combination of an information utility measure and the communication cost incurred between the current node and the next node. Then, the node selection was finished at the current node such that it optimizes the certain information fusion objective function and the current node's estimator and the corresponding minimum mean squared error were updated with its own observation and noise corrupted decision from the previous node. Finally, simulation experiments were illustrated in the estimation accuracy and network energy consumption aspects, the results show that the local search scheme can get a significant reduction in the required number of processing nodes to achieve a desired performance level is obtained compared to that with global search method and decrease the congestion, energy consumption and time latency in communication.