Abstract
Efficient and stable clustering always depends on choosing an appropriate cluster head in the network. A novel clustering protocol is proposed that employs a powerful analytical hierarchy process methodology, a mathematical model to compute relative weights for all the mobile nodes to choose appropriate cluster heads in the network. The five crucial factors of the mobile nodes are identified that influence the choosing of cluster heads. This novel clustering algorithm enhances the stability of the network to a great extent by reducing cluster head changes. Simulation results show that study of various performance metrics and it is compared with previous clustering algorithm.