Affiliations: School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China
Correspondence:
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Corresponding author. Jia Ren, School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China. E-mail: 19177177@qq.com.
Note: [1] Fund project: Changsha Science and Technology Plan Project (No:kq1901139); Scientific Research Project of Hunan Provincial Department of Education (No:19C1904).
Abstract: Monitoring the diversity of wild animals is a core part of the research and protection of wild animals. Due to the harsh outdoor environment, researchers cannot squat in the deep forest for a long time. Therefore, designing a sensor network system for wildlife monitoring is of great value to wildlife research, protection, and management. When deploying a wildlife monitoring network in the wild environment, it is necessary to solve the problem of the effective use of energy. To this end, this paper proposes an energy-saving optimization method for node scheduling and a wake-up scheme based on a cultural genetic algorithm. This method achieves the purpose of energy saving by making redundant nodes fall asleep and waking up sleep nodes to repair the coverage blind area caused by dead nodes. Simulation results show that this method can activate fewer sensor nodes to monitor the required sensing area, and its performance is better than other known solutions.
Keywords: Cultural genetic algorithm, wild animal monitoring, wireless sensor network, coverage control, energy saving
