Increasing the Life of Wireless Sensors Networks: Proposing a Novel Routing Method Hassan Ziafat 1,* , Ziafat@natanziau.ir Seyed Morteza Babamir 2 , babamir@kashanu.ac.ir Meghdad Mirabi 3 , m.mirabi@irphe.ac.ir 1,* Young Researchers and Elite Club, Natanz Branch, Islamic Azad University, Natanz, Iran 2 Associate Professor, Department of Computer Engineering, University of Kashan, Kashan, Iran. 3 Assistant Professor, Department of Statistical Research and Information Technology, Institute for Research and Planning in Higher Education, Tehran, Iran Abstract: Considering extensive applications of wireless sensors networks, many research studies have examined them in recent years and nearly all aspects in this regard have been investigated by the researchers. Since wireless sensors` nodes use their batteries to live, one important aspect in this regard is examining a method by which the energy consumption reduces so that network could live longer. Many different methods have been proposed, but the present study enjoys new routing method applying genetics algorithm and Steiner Tree to overcome previous routing shortcomings in nodes’ energy as an important factor for data transformation. The simulation results revealed that the proposed method could increase the life of network to some acceptable degree. Keywords: Sensor network, Genetic algorithm, Steiner Tree, Low energy consumption. I. INTRODUCTION The Wireless sensor network has been highly regarded at a recent time and we have observed a remarkable growth in this field. The aim of designing such networks is to be present wherever humans cannot be there and sending the data reached from the environment to humans. These sensors are very small in size and are limited in energy and computing tasks. Lots of energy was taken to transfer data via these sensors. Thus, to reduce the energy consumption in these sensors, we must reduce the amount of the transferred data in different ways. A set of algorithms are presented to compress and aggregate the data and other methods have presented some optimal routing solutions between sensor, cluster head and base station. Furthermore, following the second solution, this paper uses the optimal routing in terms of Genetic Algorithm and Steiner tree to reduce energy consumption by finding the shortest route between sensors, cluster head and base station. In the paper, more effective cluster heads have been selected through Genetic Algorithm, then the best way to find the path of data transmission has been selected through Steiner tree structure. First, the concepts discussed in the paper will be explained. Then, the literature will be mentioned and finally, the proposed method and results obtained by implementing this approach will be presented. International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 11, November 2016 48 https://sites.google.com/site/ijcsis/ ISSN 1947-5500