Improving Lifetime of Strategic Information Network in Oil Supply Chain

Subject Areas : policy making

mohammad ali afshar kazemi ¹ , mohammad hossein darvish motevally ² , Mahmood Darvish Motevalli ³

1 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of industrial management, Firoozkooh branch, Islamic Azad uni vercity, Firoozkoh, Iran
3 - Department of computer engineering , Semnan Branch, Islamic Azad University, Semnan, Iran

Received: 2017-07-18 Accepted : 2017-07-18 Published : 2016-11-01

Keywords: strategy, Neural Network, Clustering, Energy, DEA,

Abstract :

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.