Optimum energy consumption in wireless sensitive networks plays an important role on network management. In the proposed model of this paper, first all the nods send the energy, station distance and density parameters to their fuzzy modules. According to each nod & apos; s fuzzy module outputs, a timer is activated for all nodes, which start reverse-counting from obtained value from fuzzy module. Timer of better nod comes to zero sooner and two best nods are selected in each zone (with the distance of r). One of them is introduced as superior cluster head and the other nods are connected to the closest cluster head. In addition, the cluster head not introduced as superior cluster head first collects data from neighbor & apos; s nods and then sends it to the superior cluster head after classifying data as package. The performance of the proposed model of this paper is compared with other methods and the preliminary results indicate that the proposed algorithm has increased first nod death time compared with other methods in the literature.

Today, development of economic activity and employment is known as an effective strategy for economical and social development of the countries. Entrepreneurship in Iran is also as the most executive and practical strategy to exit the economical and social deadlock and problems. However, entrepreneurship development needs identifying and removing existed obstacles and problems. There are a lot of researches about obstacles and restrictions on entrepreneurship but, to the best of our knowledge, there is no research to identify vital factors and degree of their effect on the network of factors. In this paper using DEMATEL technique, the entrepreneurial barriers in the industry of Iran are categorized in 2 groups of cause and effect. We also use fuzzy concept to handle any ambiguity on the feedbacks gathered from decision makers. To achieve this purpose, at first using views of professors and active managers in the field of entrepreneurial and also related books and using Delphi technique, 9 vital factors are identified and they are analyzed in two groups of internal and external obstacles in the industrial sector of Iran. The research chooses 100 most active companies in one of the industrial poles of Iran for the proposed study of this paper. Furthermore, questionnaires are distributed among the top managers of these companies, to analyze the barriers in entrepreneurship in the industry. The results show that two factors of "kind of management" and "organizational structure" are the most important factors. In addition, “legal obstacles" and" optimum use of financial resources” are at the highest degree of impression on business units.