The main concern in Wireless Sensor Networks is the lifetime or energy
efficiency because of node’s limited energy resources. Dynamic Power
Management approaches with the purpose of reduction of energy consumption
in sensor nodes have drawn attentions of many research studies. Recently,
there have been a strong interest to use intelligent tools especially Neural
Networks in energy efficient approaches of Wireless Sensor Networks, due to
their simple parallel distributed computational ability, distributed storage, data
robustness, auto-classification of sensor nodes and sensor reading. In this
paper, an attempt is made to show how neural networks can help in different
energy conservation approaches. The network is trained with standard results
and this will be helpful to find out energy efficiency of a particular wireless
senor network.