Fateme Shafiei - ACECR Institute of Higher Education,Isfahan BranchIsfahan, Iran
Abdalhossein Rezai - Department of Electrical EngineeringUniversity of Science and CultureTehran, Iran
Farzad Khajehkhalili - ACECR Institute of Higher Education,Isfahan BranchIsfahan, Iran

Nowadays, with the increasing growth oftechnology, many scientists and researchers are looking forways to reduce costs and improve efficiency and performancein all scientific fields. Many efforts have also been made in thefield of software and creating faster and more dynamicmethods of communication and data transfer. Meta-heuristicoptimization algorithms are one of these software methods. Inrecent years, the use of these algorithms has found a specialplace in improving efficiency in various sciences. In this study,which is performed on Wireless Sensor Networks (WSNs), acreative hybrid method has been proposed using metaheuristicoptimization algorithms, that has tried to improvethe energy consumption in these networks. In this intelligencehybrid method, two optimization algorithms of ant colony andgray wolf have been used. The developed hybrid method hasbeen implemented in MATLAB. The results of this study showthe improvement of energy consumption using the developedhybrid method compared to other methods

WSN, meta-heuristic algorithm, ant colonyalgorithm, gray wolf algorithm