In multi-hop wireless sensor networks that are categorised by many-to-one (centralized) traffic arrangements, complications associated to energy disproportion among sensors devices seemsfrequentl. When the range of transmission for a node is fixed all the way through the wireless network, the aggregate of data that sensors are obligatory to forward increases intensely as the distance to the base station becomes smaller. Consequently, sensors closest to the base station (sink)incline to die at the initial stage of transmission and instigating network partitions. Instead, if all sensors transmit straight to the sink, the extreme nodes from the data sink will die much more quickly than those close to the base station. Network lifetime can be improved to a limited extent by the use of a more intelligent transmission power control policy that balances the energy used in each node by requiring nodes further from the data sink to transmit over longer distances. However, transmission power control alone is not enough to solve the node dead problems. Here we develop an efficient clustering solution based on energy distribution by using different kind of energies and particle swarm optimization. Experimental results shows that with this network designing the network lifetime and stability period increases extensively.