In an autonomous wireless sensor environment, self organization of the nodes is essential in order to achieve network wide characteristics. In wireless autonomous environment, we believe connectivity in wireless network can be increased and overall average path length can be reduced using beamforming and biologically inspired algorithms. "The emergence of system wide functionality from simple local interactions between individual entities" [1] inspires us to achieve our current goal. Recent researches performed in direction of beamforming in wireless networks mostly assume knowledge of network with the heterogeneous [2] or hybrid deployment [3]. We propose that without the knowledge of the global environment or introduction of any special features, average path length can be reduced with the help of inspirations from the nature. As well as the number of network components can be reduces in a sparsely connected network. We further support our work with results and show that average path length and the number of sub-components can be reduced using very simple local rules and without the full network knowledge