As the Wireless Sensor Networks (chi straightener) are often run in the bad or even dangerous environment that humans can not access to, its node will occur all kinds of faults as a result form exposure. A direct result is the wrong measurement, even the loss of some of the features of WSN and paralysis of the entire network. Therefore, in order to improve the reliability of operation of wedding dresses 2nd, timely and accurate fault diagnosis of the node is very necessary.In this paper, two new methods which from the combination of the Artificial Immune System(Lacoste Polo Shirts) and other algorithms are used to diagnose the sensor module of the node. The result of diagnosis is type determination of the faults so that we can repair the fault timely to ensure the safe operation of the Lacoste Shirts network. The main contain includes:1. A brief introduction of the artificial immune system for the polo shirts related algorithm model and network model. Two methods of fault diagnosis of WSN are described simply.2. Design the chi hair straightener model of sensor component of nodes in the Matlab platform and do some research on the type of the faults and the manifestations.3. The classical BP neural network algorithm is derived in detail and improved by the artificial immune algorithm.
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