In the Internet of Things (IoT), the number of devices connected to the internet, and they can collect and exchange information at any time. IoT is helpful for the progress of a smart city and different applications. Software-Defined Network (SDN) offers programmability and flexibility in the IoT network. Nevertheless, the adoption of the number of gadgets will increase the transmission delay and this will lead the network to heavy loaded. To overcome this issue, an efficient load balancing technique has to be presented in the SDN network. By considering this solution as an aim, spider monkey optimization algorithm based load balancing (LB-SMOA) is presented in this paper. Using this technique, the controller with minimum load is selected and this selected controller balances the load of the heavily loaded controller. Simulation results show that the performance of the proposed LB-SMOA outperforms the existing load balancing techniques in terms of average response time, packet loss rate, and throughput.

在物联网（IoT）中，是指连接到Internet的设备数量，它们可以随时收集和交换信息。物联网有助于智慧城市和不同应用的发展。软件定义网络（SDN）提供了IoT网络的可编程性和灵活性。但是，采用小工具的数量将增加传输延迟，这将导致网络负担沉重。为了克服此问题，必须在SDN网络中提出一种有效的负载平衡技术。以该解决方案为目标，提出了基于蜘蛛猴优化算法的负载均衡（LB-SMOA）。使用此技术，选择了具有最小负载的控制器，并且此选定的控制器平衡了重负载控制器的负载。