Coverage optimization of wireless sensor networks with improved golden jackal optimization
- Resource Type
- Conference
- Authors
- Geng, Junqi; Wang, Haihua; Su, Jie; Zheng, Xiaoyu; Sun, Xianming; Wu, Xu; Zhang, Yue
- Source
- 2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Electronic Communication and Artificial Intelligence (ICECAI), 2023 4th International Conference on. :1-4 May, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Wireless sensor networks
Gold
Adaptive systems
Simulation
Redundancy
Optimization methods
Artificial intelligence
component
golden jackal optimization
nonlinear control parameters
grey wolf optimizer
wireless sensor networks
- Language
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.