In the light of newly developed Technologies, small-sized programmable sensor components capable of various perception and communication capabilities can be designed to collect large scaled data and transmit those to the desired target with partnering methods. A wireless sensor network is defined as a collection of numerous nodes in different locations, organized into a cooperative network in order to follow physical or environmental conditions such as, heat, sound, pressure, motion, pollution…etc. in collaboration. Despite the wireless sensor network systems has a broad range of application areas, limited supplies of power and limited computation and communication capabilities of nodes used in the network brings out various constraints to the designed appliances. Limits of power supply directly affect the lifespan of the wireless sensor networks, thus, studies on the energy efficiency of any node comprising the wireless sensor network has a significant importance. In this work, routing studies developed for wireless sensor networks will be compared in terms of energy efficiency and their superiorities to each other depending on the network structure and environmental conditions will be conceived
With the rapidly developing information technology, institutions store the most important data in digital storage. This information is the most important data sources to create the company’s institutional knowledge. All information obtained by the Company is the company’s know-how. There are many workflow process such as reducing the cost, improving the quality of products and services offered by the company, ensure the efficiency, satisfying the expectations and demands of customers. There are several open source applications to manage each of these workflow processes and these applications produce qualitative or quantitative data. Management of big data which increases with growth of the company is quite difficult. This may cause false recognition of the important knowledge which is hidden in big data while data analysis and reporting. Text mining methods can be used for the analysis which is extremely important in order to increase the enterprise business intelligence of these data. In this study, A model is suggested to generate useful knowledge in big data which created by open source applications with text mining methods such as classification, association analysis, feature extraction and clustering.