Coverage optimization of wireless sensor networks with improved golden jackal optimization

To enhance the node coverage of wireless sensor networks, a coverage optimization method based on adaptive gold jackal optimization is proposed. Firstly, a nonlinear energy-decreasing control strategy is proposed to balance exploitation and exploration. Then, the grey wolf optimizer and the golden jackal optimization are mixed to improve performance. Simulation results show that the improved golden jackal optimization has higher convergence efficiency and coverage rate compared with the traditional coverage optimization algorithm.