Optimization of Wireless Node Discovery in an IoT Network

This paper proposes a scalable model based on hyper- graph representation for the evaluation of the cooperation between sensor nodes for a reliable node discovery. In the model a set of sensors participates in a single hyper-edge including multiple sensors that work together resulting in the decrease in discovery costs. The proposed model covers well the dynamics of the complex sensor network, such as the one that maybe employed in an Internet of Things (IoT) scenario, where nodes need to act autonomously during the communication process. We apply the Lotka-Volterra model to increase the probability of existence of the communication paths in the component, while keeping the memory and thus the energy expenditure of the whole connected component under a threshold.