Research on energy-saving relay selection algorithm based on olive forwarding area in IoT

In multi-hop routing, Internet of Things (IoT) node energy constraints remain a critical issue in the routing process, and effective energy-efficient relay selection algorithms are considered as one of the important ways to solve this problem. Therefore, in order to better improve the efficiency of the network under limited energy and extend the life of the entire network, this paper proposes a novel energy-saving Relay Selection Algorithm based on Olive Forwarding Area (OFA-RSA). The algorithm optimizes the network energy utilization by taking the maximum transmit distance of nodes under unit energy consumption as the objective function, which fully takes into account the inherent fading characteristics of the wireless channel and the circuit energy consumption of nodes. Find the optimal olive forwarding area through the optimal value of the objective function of the maximum transmission distance of the node under unit energy consumption, and then within the optimal olive forwarding area, the next-hop relay node is selected based on the node's geographical location information. The simulation results show that the method proposed in this article has certain advantages in terms of interruption probability and energy consumption balance, and can significantly improve the energy utilization efficiency of the entire network. This has certain significance in resource-constrained environments such as wireless sensor networks.