Sustainable Wildlife DTN: Wearable Animal Resource Optimization through Intergenerational Multi-hop Network Simulation
Sustainable Wildlife DTN: Wearable Animal Resource Optimization through Intergenerational Multi-hop Network Simulation
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可持续野生动物 DTN：通过代际多跳网络模拟优化可穿戴动物资源
DOI：
10.1109/wimob52687.2021.9606287
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Kobayashi Hill Hiroki
中科院分区：
文献类型：
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作者：
Nakagawa Keijiro;Shimotoku Daisuke;Kawase Junya;Kobayashi Hill Hiroki
研究绿色物联网（IoT）用于环境监测，包括对电力、交通和通信基础设施不足的野生环境进行生态调查。然而，由于长期运行中无法更换电池，因此需要一种不需要人为干预的环境监测方法。本文重点研究了一种用于野生动物监测的信鸽传感系统（CPSS）。其代理可用于任何动物，并将野生动物集中在系统中。这种方法需要定期输入动物携带者；因此，在长期的运行过程中，通过繁殖的种群增长可能会影响生态系统。特别是，维持系统可用性和尽量减少对生物多样性的影响之间存在权衡。本研究旨在通过比较考虑代际多跳网络的多输入场景来解决权衡问题。“代际”的定义是不同释放期的个体相遇，通信设备苏醒，传递每个个体的感知数据。在本文的模拟中，即使在输入动物载体数量较多而繁殖个体数量受到抑制的情况下，代际多跳网络的概率也很高。在本研究中，我们解决了动物与动物之间数据共享机制的权衡问题，这对于可持续野生动物监测在绿色物联网系统的可用性和对生物多样性的影响方面至关重要。
The Green Internet of Things (IoT) is studied for environmental monitoring, including ecological surveys of wild environments with insufficient electricity, transportation, and communication infrastructure. However, an environmental monitoring method that does not require human intervention is needed because of the inability of replacing batteries during a long-term operation. We focus herein on a carrier pigeon-like sensing system (CPSS) for wildlife monitoring without human intervention. Its agent can be used for any animals and centralize wildlife in the system. This method requires the regular input of animal carriers; hence, the population growth through reproduction may affect the ecosystem during a long-term operation. In particular, a trade-off exists by maintaining system availability and minimizing impact on biodiversity. This study aims to solve the trade-off issue by comparing multiple input scenarios considering intergenerational multi-hop networks. "Intergenerational" is defined when individuals of different release periods encounter each other, and the communication devices wake up to transfer the sensing data of each individual. In the simulation performed herein, the probability of intergenerational multi-hop networks is high, even in the scenario where the number of input animal carriers is high while the number of breeding individuals is suppressed. In this study, we solve the trade-off issue on the animal-to-animal data sharing mechanism, which is important in sustainable wildlife monitoring in terms of the availability of the Green IoT system and impact on biodiversity.