Abstract: The conventional sensor management approach generally uses centralized data processing to deal with the system information. The centralized approach has several issues, such as making the center node overloading, the communication of system being congregated, and it probably will bring out the problem of “tragedy of the commons” because of the introduction of local heuristic information. Against these problems, we suggest to solve the sensor management problem by COIN(collective intelligence) theory. The method of sensor management based COIN proposed in this paper uses efficiency function as sensor utility function. In the sensor management method based COIN, the private energy function is defined for every sensor, while global energy function is defined for whole system. The iterative process of COIN theory ensures the global utility will be best when all of the individuals maximize its private utility. The simulation show that the method proposed in this paper can not only reduce the load of the central node and the communication pressure of system, but also can improve the system performance as well as the other sensor management methods. The compare with the sensor management method based PSO shows that the effect of sensor management proposed in this paper is better than that of PSO method.

Key words: artificial intelligence theory, collective intelligence, sensor management, efficiency function