Routing in a wireless sensor network is a key challenge. The appropriate routing is done in WSN by using swarm intelligence approach. Various swarm intelligence techniques are available like ant colony optimization, particle swarm optimization, artificial bee colony optimization etc. But the hybrid approach of ACO and PSO is a promising one. the PSO is used to enhance the attributes in the ACO, which define that the selection of parameter doesn’t depend on artificial experience, but relies on the robust search on the particles in the PSO. We also used an enhance utilization of ACO, by this technique we have found the shortest path or routes of ants. The output of the experiment shows that the optimize algorithm not only reduce the number of paths in the ACO but also finding the shortest path at the place of the largest path. The simulation result shows that the combination of ACO-PSO performs better than Energy Efficient PSO in terms of dead nodes, alive nodes, and throughput of the network.