Sensor networks are considered to be a standard technology in wireless communications and they are widely\ud used in military, surveillance, medicine, industry and houses as well. In sensor networks batteries with limited\ud amount of energy provide energy for the whole system. They are not rechargeable and as soon as the batteries\ud die the network life time will expire too. Using computational intelligence to schedule sleep and waking of the\ud sensor nodes is one of the suitable methods which helps the network to have a longer life. In this paper the focus\ud is on a fuzzy method to schedule sleeping and waking of sensor nodes. In this method the Environmental\ud conditions of each sensor (the number of neighbors, the remaining energy, and the distance to the next cluster\ud node) are considered as inputs by the application of a fuzzy system based on which the system creates an output\ud and the sleeping and waking time of each sensor is dynamically determined. The simulated results show that the\ud proposed algorithm is more efficient than other basic methods and consume less energy as well
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