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Incremental Environmental Monitoring for Revealing the Ecology of Endangered Fish
Yoshinari SHIRAI Yasue KISHINO Shin MIZUTANI Yutaka YANAGISAWA Takayuki SUYAMA Takuma OTSUKA Tadao KITAGAWA Futoshi NAYA
IEICE TRANSACTIONS on Communications
Publication Date: 2018/10/01
Online ISSN: 1745-1345
Type of Manuscript: INVITED PAPER (Special Section on Wireless Distributed Networks for IoT Era)
environmental monitoring, sensor networks, annotation tools, computational ethology,
Full Text: FreePDF(3.6MB)
This paper proposes a novel environmental monitoring strategy, incremental environmental monitoring, that enables scientists to reveal the ecology of wild animals in the field. We applied this strategy to the habitat of endangered freshwater fish. Specifically, we designed and implemented a network-based system using distributed sensors to continuously monitor and record the habitat of endangered fish. Moreover, we developed a set of analytical tools to exploit a variety of sensor data, including environmental time-series data such as amount of dissolved oxygen, as well as underwater video capturing the interaction of fish and their environment. We also describe the current state of monitoring the behavior and habitat of endangered fish and discuss solutions for making such environmental monitoring more efficient in the field.