Document Type : Original Article
Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Department of industrial management, Firoozkooh branch, Islamic Azad uni vercity, Firoozkoh, Iran
Department of computer engineering , Semnan Branch, Islamic Azad University, Semnan, Iran
Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neural network, SOM. Second, we cluster the network nodes based on two criteria of neighborhood and energy level using K-means clustering pattern. Third, we survey the efficiency and inefficiency of the clusters to balance the energy properly among the clusters. Then, to increase the network lifetime and to maintain the network DEA method is used. Finally, the model is tested for the information network of oil supply chain.