The Internet of Things, or IoT, is a system of interconnected computer equipment, mechanical and digital machines, objects, animals, or individuals, identified by unique identities, and with the ability to transfer data over a network without the need for human-to-human or computer-to-human interaction. One of the most important technologies in this field is the use of sensors in the context of this type of network. A wireless sensor network includes sensor nodes located in geographical areas and their job is to monitor phenomena such as humidity, temperature, vibration and earthquake. These wireless sensor nodes are actually located at the edge of the IoT networks and the information is sent to the IoT network through these nodes.One of the challenges in the field of devices used in IoT is the energy consumption of the network edge device. It is very important to manage energy and reduce energy consumption in this area, because most of these devices are wireless, therefore, in this study, a solution based on ant algorithms has been proposed. In order to do the best clustering in this type of network, to reduce the energy consumption of devices at the edges of the network, the results of the proposed algorithm show the efficiency of the proposed method and the energy improvement in the ant algorithm is between fifteen and twenty percent less than the compared algorithm.