In this paper, we discuss the optimal arrangement of wearable devices based on the lifespan of animals, which are utilized as device transporter materials, for the long-term monitoring of the wildlife animal sensor network using multi-agent simulation to reproduce the wild environment. Related studies have proposed animal-to-animal data sharing to realize longterm monitoring in the wild environment. The research on the power saving of wireless communication in a group of animals has been conducted using animal behavior. However, a system that considers the lifespan of transported wildlife, in addition to power saving, is required for long-term monitoring in the wild environment. Herein, we used multi-agent simulation to reproduce the wild environment considering the lifespan of animals, and examined when and how many individuals should be introduced to the wild environment to realize data sharing in the group of animals over several years. The proposed method is suggested to enable the long-term monitoring of remote areas where people cannot enter without base stations and power infrastructure using wild animals for several years.