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Presently, the field of wireless sensor networks (WSNs) is an important and challenging research area. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, nature based self-optimized and independent mechanism is required to tackle problems arise in WSN. The ant inspired routing has shown an excellent performance for WSNs. In this paper, the model of self-optimized autonomous routing algorithm BIOSARP with cross layer architecture for WSN and its results are presented. Certain parameters like energy level, delay and velocity are considered while making decisions. Energy level and velocity metrics are trade in from physical layer to network layer while discovering an optimal route and also in initialization process. These robust decisions will come up with the optimized route for WSN.