In the Low Earth Orbit (LEO) satellite Internet of Things (IoT) scenario, the time delay and power consumption requirements of Narrowband (NB) -IoT terminal in wide coverage area vary due to different business scenarios. However, the ground NB-IoT terminal with a single business scenario adopts a fixed working state timer parameter configuration method, which cannot meet the needs of time delay and power consumption for multi-scenario terminals in large geographical areas of LEO satellite IoT.

In response to the wide coverage characteristics of LEO satellite IoT, the problem of different delay and power consumption requirements for terminal multi-scenario application services in LEO satellite IoT scenarios, this article proposes a method based on a simplified interaction process and Markov chain model for terminal work state switching. The method uses system downlink delay and terminal power consumption as Non-dominated Sorting Genetic Algorithms-Ⅱobjective functions to obtain a set of Pareto optimal solutions for multiple scenario frontiers. Furthermore, it selects working state timer parameters from the Pareto frontier to configure terminals online that meet different scenario delay and power consumption requirements.

The simulation results show that the multi-objective optimization method proposed in this paper can globally optimize the timing parameters of the working state timer, and overcome the shortcomings of traditional methods such as exhaustive search falling into local optima. Additionally, it has been verified that simplifying the random access interaction process can effectively reduce terminal delay and power consumption.

The multi-objective optimization method proposed in this paper can obtain the working state timer parameters of the terminal in various scenarios of LEO satellite IoT.