Wireless Sensor Network (WSN) is represented as cheap as well as power-efficient sensor nodes that efficiently transfer data to the Base Station (BS). However, the energy, distance, with time delay is considered as the important challenges in WSN. Here, the power source of the Sensor Node (SN) is considered as a non-rechargeable battery. Moreover, the higher the distance among the nodes, the greater the energy utilization can occur. The Cluster Head (CH) method is exploited for the efficient transmission of data with minimum energy. Moreover, the time delay is directly proportional to the distance among the nodes and the BS. In such a way, the CH is chosen, which is spatially nearer to the BS and the SN. Hence, the time delay can be considerably minimized. Therefore, the transmission speed of the data packets is maximized. In this paper, Particle Swarm Optimization (PSO) with Crow Search Algorithm (CSA) is presented for choosing the CH. While comparing with other conventional methods such as PSO and CSA, the performance of the network is maximized.
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