The recent advancement in edge computing allows IoT devices to be smart enough to collect the surrounding data and react to the environment based on a predefined logic set or the instructions from a remotely located control center such as cloud computing. However, the intelligence in this smart environment is primarily implemented in the central controller, allowing no or little room for IoT devices to collaborate, share knowledge, and take advantage of peer devices’ knowledge with zero or minimal reliance on the central controller. This leaves the whole system not scalable and inefficient in energy consumption. In this paper, we propose an approach where edge intelligence is imposed in a clustered and cohesive manner. This enables the IoT devices to form one or more clusters based on the intelligence they possess and operate collaboratively with or without any intervention of the remote control center. This allows IoT devices to efficiently collect and react to the environment, resulting in better service quality and further reducing overall energy consumption.