A High-Performance Low-Power Energy-Balanced Strategy of IoT Network Nodes Inspired by Biological Infectious Mechanism

Inspired by the biological infectious mechanism, a high-performance low-power energy-balanced strategy is proposed for energy-balanced problem of sensors in the IoT. First, on the basis of the distributed bionic infectious model, the concept of vitality is proposed to quantify the individual heterogeneity; Further, the interaction model of vitality and infectious mechanism is further established; finally, the vitality consumption model and node energy-balanced mapping mechanism is analyzed. The simulation result based on the background of joint monitoring and target tracking shows that the target tracking error of the network is reduced by 70.51%, and the average remaining energy and energy-balanced performance are improved by 3 times and 30.14%, respectively. This strategy can effectively reduce the energy consumption of nodes, and has an important theoretical reference for the optimization of energy balance performance.