Animal-to-Animal Data Sharing Mechanism for Wildlife Monitoring in Fukushima Exclusion Zone

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2018-07-03 DOI:10.3390/MTI2030040
H. Kobayashi, Keijiro Nakagawa, K. Makiyama, Yuta Sasaki, Hiromi Kudo, Baburam Niraula, K. Sezaki
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引用次数: 1

Abstract

We propose an animal-to-animal data sharing mechanism that employs wildlife-borne sensing devices to expand the size of monitoring areas in which electricity, information, and road infrastructures are either limited or nonexistent. With the proposed approach, monitoring information can be collected from remote areas in a safe and cost-effective manner. To substantially prolong the life of a sensor node, the proposed mechanism activates the communication capabilities only when there is a plurality of animals; otherwise, the sensor node remains in a sleep state. This study aimed to achieve three objectives. First, we intend to obtain knowledge based on the actual field operations within the Fukushima exclusion zone. Second, we attempt to realize an objective evaluation of the power supply and work base that is required to properly evaluate the proposed mechanism. Third, we intend to acquire data to support wildlife research, which is the objective of both our present (and future) research.
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福岛隔离区野生动物监测动物间数据共享机制
我们提出了一种动物与动物之间的数据共享机制,该机制利用野生动物携带的传感设备来扩大电力、信息和道路基础设施有限或不存在的监测区域的规模。采用所提出的方法,可以以安全和具有成本效益的方式从偏远地区收集监测信息。为了大幅度延长传感器节点的寿命,所提出的机制仅在存在多个动物时激活通信能力;否则,传感器节点处于休眠状态。本研究旨在实现三个目标。首先,我们打算根据福岛禁区内的实际实地行动获得知识。其次,我们试图实现对电源和工作基础的客观评估,这是正确评估所提出的机制所需的。第三,我们打算获取支持野生动物研究的数据,这是我们目前(和未来)研究的目标。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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