The Wireless Sensor Network (WSN) plays an important role in various industrial automation, commercial, robotics, environmental monitoring, landslide detection, earthquake detection, transport and logistics, habitat monitoring, etc. WSN clustering provides efficient way to improve the network lifetime, throughput, scalability and packet delivery ratio. However, performance of the WSN network is limited due to low power battery operated sensor node and improper positioning of the cluster heads during cluster formation. This paper presents Fuzzy C-mean algorithm (FCM) for WSN clustering and Artificial Bee Colony Algorithm for selection of optimal cluster heads. The proposed algorithm provides optimized cluster selection that provides better network lifetime and throughput