Abstract
The Internet of Things incorporates embedded technologies, wireless sensor networks, control and automation technologies, and wearable devices to enable integrated buildings, enterprises, intelligent homes, and wearable devices. Because sensor nodes have limited power, the energy consumption of the Internet of Things network is critical. Low-energy adaptive clustering hierarchy is a green protocol that divides the network into clusters of a fixed size. Cluster heads are assigned to each cluster so that information can be relayed to the base station. This protocol is a dynamic clustering protocol that changes cluster heads after each round within the community. The cluster heads are chosen in the network entirely based on the energy of each node and the distance between the sensor node and the base station. When sensor nodes aggregate data to the cluster head, energy is also consumed. The work proposed in this paper reduces wireless sensor network energy consumption by improving proposed protocol. The cache nodes combine data from the cluster heads node and send the extra data to the base station. The results show that the proposed work reduces the number of dead nodes in the network by 83 percent and increases the node energy level by 1.66 times.