Wireless device Networks (WSNs) are outlined as dynamic, self-deployed, extremely unnatural structured network. It`s high process atmosphere with restricted and controlled transmission vary, processing, as well as restricted energy sources. The sever power constraints powerfully have an effect on the existence of active nodes and thus the network life. so as to prolong the network life time we’ve to beat the inadequacy in energy resources and preserve the process of the device nodes as long as potential. Power management approaches expeditiously scale back the device nodes energy consumption severally in every sensor node and therefore the accommodative economical routing technique has greatly appeals an excellent attention in analysis. The potential paradigms of soft-computing (SC) extremely self-addressed their ability and compatibility to overwhelm the advanced challenges in WSNs. This paper is introducing and measurement a number of the Soft Computing planned routing models for WSNs that optimally prolongs its life time.